Haifeng Hu

277 papers A* 9A 1B 8Journal 237Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Sijie Mai, Shiqin Han, Haifeng Hu
2026 J jnl
IEEE Trans. Affect. Comput.
Ronghao Lin, Qiaolin He, Ying Zeng, Sijie Mai, Li Huang, Haifeng Hu
2026 J jnl
CoRR
Ronghao Lin, Qiaolin He, Sijie Mai, Ying Zeng, Aolin Xiong, Li Huang, Yap-Peng Tan, Haifeng Hu
2026 J jnl
Mach. Intell. Res.
Ronghao Lin, Aolin Xiong, Qiaolin He, Sijie Mai, Li Huang, Haifeng Hu
2026 J jnl
CoRR
Manning Gao, Leheng Zhang, Shiqin Han, Haifeng Hu, Yuncheng Jiang, Sijie Mai
2026 J jnl
CoRR
Ronghao Lin, Honghao Lu, Ruixing Wu, Aolin Xiong, Qinggong Chu, Qiaolin He, Sijie Mai, Haifeng Hu
2026 J jnl
Knowl. Based Syst.
Jianchao Li, Wei Zhou, Kai Wang, Haifeng Hu
2026 J jnl
Knowl. Based Syst.
Bifa Liang, Ziyang Hu, Haifeng Hu, Jianming Xu, Dihu Chen
2026 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Bifa Liang, Yichao Wang, Ziyang Hu, Zhicong Huang, Haifeng Hu, Jianming Xu, Dihu Chen
2026 J jnl
IEEE Trans. Consumer Electron.
Yichao Wang, Bifa Liang, Ziyang Hu, Zhicong Huang, Haifeng Hu, Jianming Xu, Dihu Chen
2026 J jnl
Expert Syst. Appl.
Aolin Xiong, Sijie Mai, Haifeng Hu
2025 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Yuxiao Huang, Zhicong Huang, Jingwen Zhao, Haifeng Hu, Dihu Chen
2025 J jnl
IEEE Robotics Autom. Lett.
Bifa Liang, Yichao Wang, Zhicong Huang, Ziyang Hu, Haifeng Hu, Jianming Xu, Dihu Chen
2025 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Weipeng Hu, Jiun Tian Hoe, Jianhui Li, Haifeng Hu, Xudong Jiang, Yap-Peng Tan
2025 J jnl
Neural Networks
Wei Zhou, Kang Lin, Zhijie Zheng, Dihu Chen, Tao Su, Haifeng Hu
2025 J jnl
CoRR
Menghua Jiang, Yuxia Lin, Baoliang Chen, Haifeng Hu, Yuncheng Jiang, Sijie Mai
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Zefeng Lu, Ronghao Lin, Haifeng Hu
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Yiming Yang, Weipeng Hu, Qiaolin He, Haifeng Hu
2025 A* conf
ACM Multimedia
Ronghao Lin, Shuai Shen, Weipeng Hu, Qiaolin He, Aolin Xiong, Li Huang, Haifeng Hu, Yap-Peng Tan
2025 J jnl
CoRR
Ronghao Lin, Shuai Shen, Weipeng Hu, Qiaolin He, Aolin Xiong, Li Huang, Haifeng Hu, Yap-Peng Tan
2025 J jnl
IEEE Signal Process. Lett.
Ruixing Wu, Yiming Yang, Jiakai He, Haifeng Hu
2025 J jnl
Signal Image Video Process.
Bifa Liang, Yichao Wang, Ziyang Hu, Zhicong Huang, Haifeng Hu, Jianming Xu, Dihu Chen
2025 J jnl
Expert Syst. Appl.
Wei Zhou, Weitao Jiang, Zhijie Zheng, Jianchao Li, Tao Su, Haifeng Hu
2025 J jnl
Knowl. Based Syst.
Wei Zhou, Chuanle Song, Dihu Chen, Tao Su, Haifeng Hu, Chun Shan
2025 J jnl
IEEE Trans. Affect. Comput.
Aolin Xiong, Ying Zeng, Haifeng Hu
2025 J jnl
IEEE Trans. Affect. Comput.
Sijie Mai, Ying Zeng, Aolin Xiong, Haifeng Hu
2025 A* conf
WWW
Sijie Mai, Ying Zeng, Haifeng Hu
2025 J jnl
Inf. Fusion
Weipeng Hu, Jiun Tian Hoe, Runzhong Zhang, Yiming Yang, Haifeng Hu, Yap-Peng Tan
2025 J jnl
CoRR
Ronghao Lin, Sijie Mai, Ying Zeng, Qiaolin He, Aolin Xiong, Haifeng Hu
2025 J jnl
IEEE Trans. Inf. Forensics Secur.
Qiaolin He, Yiming Yang, Zihan Wang, Haifeng Hu
2025 J jnl
IEEE Trans. Inf. Forensics Secur.
Yiming Yang, Weipeng Hu, Haifeng Hu
2025 J jnl
IEEE Trans. Inf. Forensics Secur.
Zefeng Lu, Ronghao Lin, Yap-Peng Tan, Haifeng Hu
2025 J jnl
IEEE Trans. Multim.
Zhijie Zheng, Zhicong Huang, Jingwen Zhao, Kang Lin, Haifeng Hu, Dihu Chen
2025 J jnl
IEEE Trans. Multim.
Wei Zhou, Kang Lin, Weipeng Hu, Chao Xie, Tao Su, Haifeng Hu, Yap-Peng Tan
2025 A* conf
EMNLP
Sijie Mai, Shiqin Han, Haifeng Hu
2025 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Tinghui Wu, Shuhe Zhang, Dihu Chen, Haifeng Hu
2025 J jnl
CoRR
Menghua Jiang, Yuncheng Jiang, Haifeng Hu, Sijie Mai
2025 J jnl
CoRR
Shiqin Han, Manning Gao, Menghua Jiang, Yuncheng Jiang, Haifeng Hu, Sijie Mai
2025 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Jiakai He, Yiming Yang, Haifeng Hu, Ruixing Wu
2024 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Qiaolin He, Zhijie Zheng, Haifeng Hu
2024 J jnl
Inf. Fusion
Ronghao Lin, Haifeng Hu
2024 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Wei Zhou, Zhijie Zheng, Tao Su, Haifeng Hu
2024 J jnl
Inf. Fusion
Ying Zeng, Wenjun Yan, Sijie Mai, Haifeng Hu
2024 J jnl
IEEE Trans. Affect. Comput.
Shuhe Zhang, Haifeng Hu, Songlong Xing
2024 J jnl
CoRR
Yiming Yang, Weipeng Hu, Haifeng Hu
2024 J jnl
IEEE Trans. Multim.
Ronghao Lin, Haifeng Hu
2024 J jnl
CoRR
Ronghao Lin, Ying Zeng, Sijie Mai, Haifeng Hu
2024 J jnl
CoRR
Ruixing Wu, Yiming Yang, Jiakai He, Haifeng Hu
2024 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Min Yang, Yunong Zhang, Haifeng Hu
2024 J jnl
CoRR
Sijie Mai, Yu Zhao, Ying Zeng, Jianhua Yao, Haifeng Hu
2024 J jnl
IEEE Trans. Inf. Forensics Secur.
Zefeng Lu, Ronghao Lin, Haifeng Hu
2024 J jnl
IEEE Trans. Multim.
Wei Zhou, Weitao Jiang, Dihu Chen, Haifeng Hu, Tao Su
2024 J jnl
IEEE Trans. Affect. Comput.
Ronghao Lin, Haifeng Hu
2024 J jnl
IEEE Trans. Multim.
Sijie Mai, Ya Sun, Aolin Xiong, Ying Zeng, Haifeng Hu
2024 J jnl
IEEE Trans. Multim.
Ying Zeng, Sijie Mai, Wenjun Yan, Haifeng Hu
2024 J jnl
Comput. Sci. Eng.
Tinghui Wu, Sijie Mai, Dihu Chen, Haifeng Hu
2024 J jnl
IEEE Trans. Image Process.
Weipeng Hu, Yiming Yang, Haifeng Hu
2024 J jnl
Neurocomputing
Jianfeng Wu, Aolin Xiong, Sijie Mai, Haifeng Hu
2024 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Xulei Lou, Tinghui Wu, Haifeng Hu, Dihu Chen
2024 J jnl
IEEE Trans. Intell. Transp. Syst.
Qiaolin He, Zihan Wang, Zhijie Zheng, Haifeng Hu
2024 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Yiming Yang, Weipeng Hu, Haifeng Hu
2024 J jnl
IEEE Trans. Multim.
Zefeng Lu, Ronghao Lin, Haifeng Hu
2024 J jnl
Comput. Vis. Image Underst.
Jianchao Li, Wei Zhou, Kai Wang, Haifeng Hu
2024 J jnl
IEEE Trans. Inf. Forensics Secur.
Yiming Yang, Weipeng Hu, Haifeng Hu
2023 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Wei Zhou, Zhiwu Xia, Peng Dou, Tao Su, Haifeng Hu
2023 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Wei Zhou, Yanke Hou, Dihu Chen, Haifeng Hu, Tao Su
2023 J jnl
Neural Process. Lett.
Peng Dou, Haifeng Hu
2023 conf
ICONIP (1)
Ji Lu, Min Yang, Ning Tan, Haifeng Hu, Yunong Zhang
2023 J jnl
IEEE Signal Process. Lett.
Zhijie Zheng, Zhicong Huang, Jingwen Zhao, Haifeng Hu, Dihu Chen
2023 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Shengrong Yang, Weihong Liu, Yangbin Yu, Haifeng Hu, Dihu Chen, Tao Su
2023 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Wei Zhou, Zhiwu Xia, Peng Dou, Tao Su, Haifeng Hu
2023 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai
2023 J jnl
Inf. Fusion
Sijie Mai, Ya Sun, Ying Zeng, Haifeng Hu
2023 J jnl
IEEE Trans. Cybern.
Min Yang, Yunong Zhang, Ning Tan, Haifeng Hu
2023 J jnl
Pattern Recognit.
Wei Zhou, Peng Dou, Tao Su, Haifeng Hu, Zhijie Zheng
2023 J jnl
IEEE Trans. Intell. Transp. Syst.
Qiaolin He, Zefeng Lu, Zihan Wang, Haifeng Hu
2023 J jnl
Neural Process. Lett.
Weitao Jiang, Haifeng Hu
2023 J jnl
IEEE Trans. Affect. Comput.
Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
2023 J jnl
Inf. Fusion
Sijie Mai, Ying Zeng, Haifeng Hu
2023 J jnl
IEEE Trans. Affect. Comput.
Ya Sun, Sijie Mai, Haifeng Hu
2023 J jnl
IEEE Trans. Intell. Transp. Syst.
Zefeng Lu, Ronghao Lin, Haifeng Hu
2023 J jnl
IEEE Trans. Intell. Transp. Syst.
Zefeng Lu, Ronghao Lin, Qiaolin He, Haifeng Hu
2023 J jnl
Trans. Assoc. Comput. Linguistics
Ronghao Lin, Haifeng Hu
2023 J jnl
IEEE Trans. Inf. Forensics Secur.
Zefeng Lu, Ronghao Lin, Haifeng Hu
2023 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
2023 J jnl
IEEE Trans. Multim.
Sijie Mai, Ying Zeng, Haifeng Hu
2023 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Peng Dou, Ying Zeng, Zhuoqun Wang, Haifeng Hu
2023 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yiming Yang, Weipeng Hu, Haifeng Hu
2023 J jnl
Pattern Recognit. Lett.
Zhicong Huang, Zhijie Zheng, Jingwen Zhao, Haifeng Hu, Zixin Wang, Dihu Chen
2023 J jnl
IEEE Trans. Image Process.
Yiming Yang, Weipeng Hu, Haiqi Lin, Haifeng Hu
2023 J jnl
IEEE Trans. Knowl. Data Eng.
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
2023 J jnl
Neural Process. Lett.
Suian Zhang, Haifeng Hu
2022 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Min Yang, Yunong Zhang, Zhijun Zhang, Haifeng Hu
2022 J jnl
IEEE Trans. Cybern.
Min Yang, Yunong Zhang, Ning Tan, Mingzhi Mao, Haifeng Hu
2022 J jnl
IEEE Trans. Multim.
Sijie Mai, Haifeng Hu, Songlong Xing
2022 J jnl
Pattern Recognit.
Yewen Huang, Sicheng Lian, Haifeng Hu
2022 J jnl
IEEE Trans. Affect. Comput.
Songlong Xing, Sijie Mai, Haifeng Hu
2022 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Weipeng Hu, Bohong Liu, Haitang Zeng, Yanke Hou, Haifeng Hu
2022 J jnl
Neural Process. Lett.
Yangbin Yu, Shengrong Yang, Haifeng Hu, Dihu Chen
2022 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Shenming Feng, Xingzhong Nong, Haifeng Hu
2022 J jnl
IEEE Trans. Ind. Informatics
Min Yang, Yunong Zhang, Ning Tan, Haifeng Hu
2022 J jnl
Neurocomputing
Jianfeng Wu, Sijie Mai, Haifeng Hu
2022 J jnl
CoRR
Sijie Mai, Ya Sun, Haifeng Hu
2022 A* conf
EMNLP
Sijie Mai, Ya Sun, Haifeng Hu
2022 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Wenjun Yan, Ying Zeng, Haifeng Hu
2022 J jnl
IEEE Trans. Inf. Forensics Secur.
Weipeng Hu, Haifeng Hu
2022 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Weitao Jiang, Wei Zhou, Haifeng Hu
2022 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Weipeng Hu, Wenjun Yan, Haifeng Hu
2022 J jnl
Knowl. Based Syst.
Sijie Mai, Shuangjia Zheng, Ya Sun, Ying Zeng, Yuedong Yang, Haifeng Hu
2022 J jnl
IEEE Trans. Intell. Transp. Syst.
Zefeng Lu, Ronghao Lin, Xulei Lou, Lifeng Zheng, Haifeng Hu
2022 J jnl
IEEE ACM Trans. Audio Speech Lang. Process.
Jianfeng Wu, Sijie Mai, Haifeng Hu
2022 J jnl
IEEE Signal Process. Lett.
Jiaxuan He, Haifeng Hu
2022 J jnl
IEEE Signal Process. Lett.
Jiaxuan He, Haifeng Hu
2022 J jnl
IEEE Trans. Image Process.
Ruijun Ma, Shuyi Li, Bob Zhang, Haifeng Hu
2022 J jnl
IEEE Trans. Affect. Comput.
Sijie Mai, Haifeng Hu, Jia Xu, Songlong Xing
2022 conf
EMNLP (Findings)
Ronghao Lin, Haifeng Hu
2022 J jnl
CoRR
Ronghao Lin, Haifeng Hu
2022 J jnl
CoRR
Sijie Mai, Ying Zeng, Haifeng Hu
2022 conf
ICCT
Junqi Pang, Wenyi Liu, Haifeng Hu, Ruixuan Yang, Ruixing Cao, Zhongliang Zhao
2022 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Weipeng Hu, Haifeng Hu
2022 J jnl
CoRR
Zhicong Huang, Jingwen Zhao, Zhijie Zheng, Dihu Chen, Haifeng Hu
2022 J jnl
CoRR
Jianfeng Wu, Sijie Mai, Haifeng Hu
2022 J jnl
IEEE Signal Process. Lett.
Yangbin Yu, Ying Zeng, Haifeng Hu, Dihu Chen
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yangjian Huang, Haifeng Hu
2021 J jnl
IEEE Signal Process. Lett.
Jiaxuan He, Sijie Mai, Haifeng Hu
2021 J jnl
IEEE Trans. Multim.
Weipeng Hu, Haifeng Hu
2021 J jnl
IEEE ACM Trans. Audio Speech Lang. Process.
Sijie Mai, Songlong Xing, Haifeng Hu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Junxuan Zhang, Haifeng Hu, Zheng Liu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Sicheng Lian, Weitao Jiang, Haifeng Hu
2021 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Weitao Jiang, Weixuan Wang, Haifeng Hu
2021 J jnl
Neural Process. Lett.
Jingye Zheng, Dihu Chen, Haifeng Hu
2021 A* conf
AAAI
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Lingshuang Du, Haifeng Hu
2021 J jnl
IEEE Signal Process. Lett.
Weipeng Hu, Haifeng Hu
2021 J jnl
IEEE Trans. Inf. Forensics Secur.
Weipeng Hu, Haifeng Hu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Teng Wang, Huicheng Zheng, Mingjing Yu, Qian Tian, Haifeng Hu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Siyue Xie, Haifeng Hu, Yizhen Chen
2021 conf
PRCV (4)
Peng Dou, Wei Zhou, Zhongke Liao, Haifeng Hu
2021 B conf
ICMI
Jianfeng Wu, Sijie Mai, Haifeng Hu
2021 J jnl
CoRR
Jianfeng Wu, Sijie Mai, Haifeng Hu
2021 J jnl
CoRR
Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
2021 J jnl
IET Comput. Vis.
Congcong Ruan, Liuchun Yuan, Haifeng Hu, Dihu Chen
2021 A* conf
SIGIR
Zujie Liang, Haifeng Hu, Jiaying Zhu
2021 J jnl
CoRR
Zujie Liang, Haifeng Hu, Jiaying Zhu
2021 J jnl
IEEE Signal Process. Lett.
Ya Sun, Sijie Mai, Haifeng Hu
2021 J jnl
IEEE Access
Weitao Jiang, Xiying Li, Haifeng Hu, Qiang Lu, Bohong Liu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yewen Huang, Sicheng Lian, Haifeng Hu, Dihu Chen, Tao Su
2021 J jnl
IEEE Access
Suian Zhang, Ying Zeng, Haifeng Hu, Shuyu Liu
2021 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yongbo Wu, Lingshuang Du, Haifeng Hu
2021 J jnl
IEEE Signal Process. Lett.
Yanke Hou, Sicheng Lian, Haifeng Hu, Dihu Chen
2021 J jnl
Appl. Soft Comput.
Min Yang, Yunong Zhang, Xuefeng Zhou, Haifeng Hu
2021 J jnl
Neurocomputing
Min Yang, Yunong Zhang, Haifeng Hu
2021 J jnl
Numer. Algorithms
Min Yang, Yunong Zhang, Haifeng Hu
2021 J jnl
CoRR
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
2021 conf
EMNLP (Findings)
Ying Zeng, Sijie Mai, Haifeng Hu
2021 J jnl
CoRR
Ying Zeng, Sijie Mai, Haifeng Hu
2021 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Yizhen Chen, Haifeng Hu
2020 J jnl
IET Comput. Vis.
Jinding Wang, Haifeng Hu, Xinlong Lu
2020 J jnl
Neural Process. Lett.
Zhongke Liao, Haifeng Hu, Yichu Liu
2020 J jnl
IEEE Trans. Ind. Informatics
Min Yang, Yunong Zhang, Zhijun Zhang, Haifeng Hu
2020 A* conf
CVPR
Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai
2020 J jnl
CoRR
Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai
2020 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Lingshuang Du, Haifeng Hu, Yongbo Wu
2020 J jnl
CoRR
Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
2020 J jnl
IEEE Access
Shenming Feng, Xiying Li, Haifeng Hu
2020 J jnl
CoRR
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
2020 J jnl
Neural Process. Lett.
Jinding Wang, Haifeng Hu
2020 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Liang Yang, Haifeng Hu, Songlong Xing, Xinlong Lu
2020 J jnl
IEEE Trans. Inf. Forensics Secur.
Lingshuang Du, Haifeng Hu, Yongbo Wu
2020 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yewen Huang, Yi Huang, Haifeng Hu, Dihu Chen, Tao Su
2020 J jnl
Neurocomputing
Min Yang, Yunong Zhang, Haifeng Hu
2020 J jnl
Neural Process. Lett.
Keqi Wang, Haifeng Hu, Lin Li, Tundong Liu
2020 J jnl
IEEE Trans. Multim.
Weipeng Hu, Haifeng Hu
2020 J jnl
IEEE Trans. Image Process.
Ruijun Ma, Haifeng Hu, Songlong Xing, Zhengming Li
2020 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Xiaofan Luo, Fukoeng Wong, Haifeng Hu
2020 J jnl
Neural Process. Lett.
Ruijun Ma, Bob Zhang, Haifeng Hu
2020 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Min Yang, Yunong Zhang, Haifeng Hu, Binbin Qiu
2020 J jnl
Pattern Recognit.
Wendong Chen, Haifeng Hu
2020 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Junfeng Zhang, Haifeng Hu, Guobin Shen
2020 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Shenming Feng, Haifeng Hu
2020 conf
EMNLP (1)
Zujie Liang, Weitao Jiang, Haifeng Hu, Jiaying Zhu
2020 conf
WCSP
Lei Zheng, Rui Yang, Jiesen Pan, Hui Cheng, Haifeng Hu
2020 J jnl
CoRR
Lei Zheng, Jiesen Pan, Rui Yang, Hui Cheng, Haifeng Hu
2020 J jnl
IEEE Trans. Multim.
Sijie Mai, Songlong Xing, Haifeng Hu
2020 A* conf
AAAI
Sijie Mai, Haifeng Hu, Songlong Xing
2020 J jnl
Neural Process. Lett.
Yizhen Chen, Haifeng Hu
2020 J jnl
Comput. Vis. Image Underst.
Wenjie Qiu, Wendong Chen, Haifeng Hu
2020 J jnl
IEEE Trans. Image Process.
Junfeng Zhang, Haifeng Hu, Shenming Feng
2020 J jnl
CoRR
Lei Zheng, Rui Yang, Jiesen Pan, Hui Cheng, Haifeng Hu
2020 J jnl
IET Comput. Vis.
Lingshuang Du, Yongbo Wu, Haifeng Hu, Weixuan Wang
2020 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yewen Huang, Sicheng Lian, Suian Zhang, Haifeng Hu, Dihu Chen, Tao Su
2020 J jnl
Neural Process. Lett.
Wendong Chen, Haifeng Hu
2019 J jnl
Neural Process. Lett.
Haifeng Hu, Zhongke Liao, Xiang Xiao
2019 J jnl
Neural Process. Lett.
Liang Yang, Haifeng Hu
2019 J jnl
IET Comput. Vis.
Fukoeng Wong, Haifeng Hu
2019 J jnl
Neural Process. Lett.
Yongbo Wu, Haifeng Hu, Haoxi Li
2019 J jnl
Neural Process. Lett.
Yizhen Chen, Haifeng Hu
2019 J jnl
Comput. Vis. Image Underst.
Sijie Mai, Haifeng Hu, Jia Xu
2019 J jnl
IEEE Access
Congcong Ruan, Wei Wang, Haifeng Hu, Dihu Chen
2019 conf
PRCV (1)
Wei Wang, Haifeng Hu, Dihu Chen
2019 J jnl
Neural Process. Lett.
Junxuan Zhang, Haifeng Hu
2019 J jnl
IEEE Access
Junxuan Zhang, Haifeng Hu
2019 J jnl
Pattern Recognit.
Siyue Xie, Haifeng Hu, Yongbo Wu
2019 J jnl
Comput. Vis. Image Underst.
Weipeng Hu, Haifeng Hu
2019 conf
ACL (1)
Sijie Mai, Haifeng Hu, Songlong Xing
2019 J jnl
Pattern Recognit.
Junxuan Zhang, Haifeng Hu
2019 J jnl
IEEE Signal Process. Lett.
Lingshuang Du, Haifeng Hu
2019 J jnl
IEEE Trans. Multim.
Siyue Xie, Haifeng Hu
2019 J jnl
IEEE Access
Yizhen Chen, Haifeng Hu
2019 J jnl
Neural Process. Lett.
Weipeng Hu, Haifeng Hu
2019 J jnl
IEEE Access
Weipeng Hu, Haifeng Hu, Xinlong Lu
2019 A* conf
AAAI
Weixuan Wang, Zhihong Chen, Haifeng Hu
2019 J jnl
IET Comput. Vis.
Yuelai Yuan, Dihu Chen, Haifeng Hu, Lingshuang Du
2019 J jnl
Neural Process. Lett.
Teng Wang, Haifeng Hu, Chen He
2019 J jnl
Neural Process. Lett.
Weixuan Wang, Haifeng Hu
2019 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Chen He, Haifeng Hu
2019 J jnl
Neural Process. Lett.
Chen He, Haifeng Hu
2019 J jnl
IEEE Access
Liuchun Yuan, Congcong Ruan, Haifeng Hu, Dihu Chen
2019 J jnl
CoRR
Sijie Mai, Haifeng Hu, Songlong Xing
2019 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Junxuan Zhang, Haifeng Hu, Xinlong Lu
2019 J jnl
IEEE Access
Jingye Zheng, Dihu Chen, Haifeng Hu
2019 J jnl
IEEE Trans. Ind. Informatics
Yunong Zhang, Min Yang, Huanchang Huang, Mengling Xiao, Haifeng Hu
2019 J jnl
Neurocomputing
Lingshuang Du, Haifeng Hu
2019 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Ruijun Ma, Haifeng Hu, Weixuan Wang, Jia Xu, Zhengming Li
2019 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Jie Wu, Haifeng Hu, Liang Yang
2019 J jnl
IEEE Access
Yewen Huang, Suian Zhang, Haifeng Hu, Dihu Chen, Tao Su
2019 J jnl
Comput. Vis. Image Underst.
Zhongke Liao, Haifeng Hu, Junxuan Zhang, Chang Yin
2019 J jnl
Neural Process. Lett.
Zheng Liu, Haifeng Hu, Junxuan Zhang
2019 J jnl
IEEE Access
Zheng Liu, Haifeng Hu
2019 B conf
FG
Junfeng Zhang, Haifeng Hu
2019 J jnl
IEEE Access
Liuchun Yuan, Dihu Chen, Haifeng Hu
2019 J jnl
Comput. Vis. Image Underst.
Liang Yang, Haifeng Hu
2019 J jnl
Comput. Vis. Image Underst.
Lingshuang Du, Haifeng Hu
2019 J jnl
Neural Process. Lett.
Gengshi Huang, Haifeng Hu
2018 conf
ACCV (6)
Yangjian Huang, Wendong Chen, Haifeng Hu
2018 J jnl
IEEE Trans. Inf. Forensics Secur.
Haoxi Li, Haifeng Hu, Chitung Yip
2018 J jnl
IET Comput. Vis.
Yuqiao Xian, Haifeng Hu
2018 J jnl
Comput. Vis. Image Underst.
Junfeng Zhang, Haifeng Hu
2018 J jnl
IET Comput. Vis.
Siyue Xie, Haifeng Hu, Ziyu Yin
2018 B conf
ICPR
Chitung Yip, Haifeng Hu
2018 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Jie Wu, Haifeng Hu, Yi Wu
2018 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Anqi Wang, Haifeng Hu, Liang Yang
2018 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Junfeng Zhang, Haifeng Hu
2018 conf
CCBR
Chitung Yip, Haifeng Hu, Zhihong Chen
2018 J jnl
IEEE CAA J. Autom. Sinica
Jianquan Gu, Haifeng Hu, Haoxi Li
2018 conf
ACCV (6)
Weixuan Wang, Zhihong Chen, Haifeng Hu
2018 conf
PRCV (3)
Yongbo Wu, Haifeng Hu
2018 B conf
ICPR
Ruijun Ma, Haifeng Hu
2018 conf
CCBR
Junxuan Zhang, Haifeng Hu
2017 J jnl
IEEE Trans. Image Process.
Haoxi Li, Haifeng Hu, Chitung Yip
2017 B conf
ICIP
Haoshan Zou, Haifeng Hu
2017 B conf
ICIP
Jianquan Gu, Haifeng Hu, Siyue Xie
2017 J jnl
IEEE Signal Process. Lett.
Haoxi Li, Haoshan Zou, Haifeng Hu
2017 B conf
ICIP
Xiang Xiao, Haifeng Hu, Weixuan Wang
2016 J jnl
Cogn. Comput.
Haifeng Hu, Jianquan Gu
2016 B conf
ICIP
Jianquan Gu, Haifeng Hu, Haoxi Li, Weipeng Hu
2015 conf
CCBR
Xiang Xiao, Le Liu, Haifeng Hu
2015 J jnl
IET Comput. Vis.
Haifeng Hu
2015 J jnl
Int. J. Distributed Sens. Networks
Xin Qi, Kun Wang, Anpeng Huang, Haifeng Hu, Guangjie Han
2015 conf
CCBR
Jianquan Gu, Le Liu, Haifeng Hu
2015 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Haifeng Hu
2014 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Haifeng Hu
2014 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Haifeng Hu
2013 conf
CCBR
Xiaoying Wang, Le Liu, Haifeng Hu
2013 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Haifeng Hu
2013 A conf
ICME
Yun Zheng, Pei Chen, Yuan He, Jun Sun, Haifeng Hu
2012 conf
CCBR
Haifeng Hu
2012 conf
CCBR
Haifeng Hu
2011 J jnl
Pattern Recognit.
Haifeng Hu
2011 J jnl
Comput. Vis. Image Underst.
Haifeng Hu
2011 J jnl
Pattern Recognit. Lett.
Haifeng Hu
2009 J jnl
Pattern Recognit. Lett.
Haifeng Hu, Ping Zhang, Zhengming Ma
2008 J jnl
Comput. Vis. Image Underst.
Haifeng Hu
2008 J jnl
Pattern Recognit.
Haifeng Hu
2007 conf
ISNN (2)
Haifeng Hu, Zhi Yang
2006 conf
ISNN (2)
Haifeng Hu
2006 conf
ICAT Workshops
Haifeng Hu, Ping Zhang
tests/unit/test_force_reprocessing.py
← Index tests/unit/test_force_reprocessing.py python
"""
Unit tests for --force flag, --modules selection, --analyzed mode, and --rerun mode.

Tests that:
1. --force bypasses both bulk and per-file dedup checks (feature-extraction AND decompile paths)
2. --modules does NOT implicitly enable force (force must be explicit)
3. Default behavior (no --force) preserves dedup checks
4. --analyzed queries basic_properties and handles decompile dedup filtering
5. --rerun queries disassembled table directly (with --analyzed --decompile)
6. Decompile per-file is_in_code_db respects --force flag
7. YARA scanning skips already-scanned samples by default, rescans all with --force
"""
import os
import sys
import pytest
from unittest.mock import Mock, patch, MagicMock

pytestmark = [pytest.mark.unit]


def _mock_decompiler_module():
    """Install a mock for redb.extractors.decompiler into sys.modules.

    The real DecompileBinja import chain pulls in blake3/binaryninja which
    aren't available in the unit-test environment. This helper injects a
    lightweight mock so that `from redb.extractors.decompiler import DecompileBinja`
    succeeds inside process_binary_file.

    Returns a context-manager-compatible mock DecompileBinja class.
    """
    mock_decompile_binja = Mock()
    mock_instance = Mock()
    mock_instance.export_data.return_value = True
    mock_instance.analysis_results = None
    mock_decompile_binja.return_value.__enter__ = Mock(return_value=mock_instance)
    mock_decompile_binja.return_value.__exit__ = Mock(return_value=False)

    mock_mod = MagicMock()
    mock_mod.DecompileBinja = mock_decompile_binja
    return mock_mod, mock_decompile_binja


# ============================================================================
# CLI Argument Parsing Tests
# ============================================================================

class TestForceCliArgument:
    """Tests for --force CLI argument parsing in start.py."""

    def _parse_args(self, args_list):
        """Helper to parse CLI args without running main()."""
        import argparse

        # Replicate the parser from start.py
        parser = argparse.ArgumentParser()
        input_group = parser.add_mutually_exclusive_group(required=True)
        input_group.add_argument("--path")
        input_group.add_argument("--s3", action="store_true")
        input_group.add_argument("--s3-solo", metavar="S3_KEY")
        input_group.add_argument("--nomad-job", action="store_true")
        input_group.add_argument("--date", metavar="YYYY-MM-DD")
        input_group.add_argument("--range", nargs=2)
        input_group.add_argument("--analyzed", action="store_true")

        parser.add_argument("--repo")
        parser.add_argument("--index_prefix", default="redb")
        parser.add_argument("-d", "--decompile", action="store_true")
        parser.add_argument("-m", "--modules", default="all")
        parser.add_argument("--force", action="store_true")
        parser.add_argument("--dry-run", action="store_true")

        return parser.parse_args(args_list)

    def test_force_flag_default_false(self):
        """--force is False by default."""
        args = self._parse_args(["--path", "/tmp/test", "--repo", "test"])
        assert args.force is False

    def test_force_flag_explicit(self):
        """--force is True when specified."""
        args = self._parse_args(["--path", "/tmp/test", "--repo", "test", "--force"])
        assert args.force is True

    def test_modules_all_no_implicit_force(self):
        """--modules 'all' does not enable force."""
        args = self._parse_args(["--path", "/tmp/test", "--repo", "test", "--modules", "all"])
        assert args.force is False

    def test_specific_modules_no_implicit_force(self):
        """--modules with specific extractors does NOT implicitly enable force."""
        args = self._parse_args([
            "--path", "/tmp/test", "--repo", "test",
            "--modules", "MachOFeaturesExtractor"
        ])
        assert args.force is False

    def test_specific_modules_with_explicit_force(self):
        """--modules with specific extractors requires explicit --force to bypass dedup."""
        args = self._parse_args([
            "--path", "/tmp/test", "--repo", "test",
            "--modules", "BasicPropertiesExtractor,HashExtractor", "--force"
        ])
        assert args.force is True

    def test_force_with_modules_all(self):
        """--force works independently of --modules."""
        args = self._parse_args([
            "--path", "/tmp/test", "--repo", "test",
            "--modules", "all", "--force"
        ])
        assert args.force is True


# ============================================================================
# is_in_db Per-File Dedup Bypass Tests (using module-level patching)
# ============================================================================

class TestPerFileDedupBypass:
    """Tests for the per-file is_in_db check bypass in process_binary_file.

    We patch at the module level to avoid triggering heavy import chains.
    """

    @patch('redb.workers.is_in_db')
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_default_calls_is_in_db(self, mock_settings, mock_magika, mock_hashlib, mock_is_in_db):
        """Without force, is_in_db is called and can skip files."""
        from redb.ingestor import process_binary_file, ImportResult

        # Setup magika
        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance

        # Setup hashlib
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64

        # Setup settings for ClickHouse
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        # is_in_db returns True => file should be skipped
        mock_is_in_db.return_value = True

        logger = Mock()

        with patch('builtins.open', mock_open_binary(b"test data")):
            result, filetype = process_binary_file(
                "/tmp/test.bin", False, "redb", logger,
                selected_modules="all", force=False
            )

        mock_is_in_db.assert_called_once_with("a" * 64, "redb")
        assert result == ImportResult.SKIPPED

    @patch('redb.workers.is_in_db')
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    @patch('redb.workers._is_packed', return_value=None)
    @patch('redb.workers.DIEExtractor')
    @patch('redb.workers.BasicPropertiesExtractor')
    @patch('redb.workers.HashExtractor')
    @patch('redb.workers.CAPAExtractor')
    def test_force_skips_is_in_db(self, mock_capa, mock_hash, mock_bp, mock_die, mock_packed,
                                   mock_settings, mock_magika, mock_hashlib, mock_is_in_db):
        """With force=True, is_in_db is never called.

        Uses filetype 'unknown' to avoid triggering PE/ELF/Mach-O specific
        extractor chains which would need many more mocks.
        """
        from redb.ingestor import process_binary_file

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "unknown"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        logger = Mock()

        with patch('builtins.open', mock_open_binary(b"test data")):
            try:
                process_binary_file(
                    "/tmp/test.bin", False, "redb", logger,
                    selected_modules="all", force=True
                )
            except Exception:
                pass

        mock_is_in_db.assert_not_called()

    @patch('redb.workers.is_in_db')
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_decompile_mode_skips_is_in_db(self, mock_settings, mock_magika, mock_hashlib, mock_is_in_db):
        """In decompile mode, is_in_db is never called (existing behavior)."""
        from redb.ingestor import process_binary_file

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        logger = Mock()

        with patch('builtins.open', mock_open_binary(b"test data")):
            try:
                process_binary_file(
                    "/tmp/test.bin", True, "redb", logger,
                    selected_modules="all", force=False
                )
            except Exception:
                pass

        mock_is_in_db.assert_not_called()


# ============================================================================
# Bulk Dedup Bypass Tests
# ============================================================================

class TestBulkDedupBypass:
    """Tests for the bulk is_in_db_bulk check bypass in fetch functions."""

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_repo_default_calls_bulk_check(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """Without force, fetch_s3_objects_by_repository calls is_in_db_bulk."""
        from redb.ingestor import fetch_s3_objects_by_repository

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin", None)
        ]
        mock_db_conn.return_value = mock_client
        mock_bulk.return_value = set()

        fetch_s3_objects_by_repository("test_repo", "redb", False, force=False)

        mock_bulk.assert_called_once()

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_repo_force_skips_bulk_check(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """With force=True, fetch_s3_objects_by_repository skips is_in_db_bulk."""
        from redb.ingestor import fetch_s3_objects_by_repository

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin", None)
        ]
        mock_db_conn.return_value = mock_client

        result = fetch_s3_objects_by_repository("test_repo", "redb", False, force=True)

        mock_bulk.assert_not_called()
        assert len(result) == 1  # All rows kept, none filtered

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_repo_force_preserves_all_rows(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """With force=True, all rows from the query are returned unfiltered."""
        from redb.ingestor import fetch_s3_objects_by_repository

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "pebin", None),
            ("hash2" + "0" * 59, "pebin", None),
            ("hash3" + "0" * 59, "pebin", None),
        ]
        mock_db_conn.return_value = mock_client

        result = fetch_s3_objects_by_repository("test_repo", "redb", False, force=True)

        assert len(result) == 3

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_date_default_calls_bulk_check(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """Without force, fetch_s3_objects_by_date_range calls is_in_db_bulk."""
        from redb.ingestor import fetch_s3_objects_by_date_range

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin", None)
        ]
        mock_db_conn.return_value = mock_client
        mock_bulk.return_value = set()

        fetch_s3_objects_by_date_range(
            "redb", False, "2025-01-01", "2025-01-02", force=False
        )

        mock_bulk.assert_called_once()

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_date_force_skips_bulk_check(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """With force=True, fetch_s3_objects_by_date_range skips is_in_db_bulk."""
        from redb.ingestor import fetch_s3_objects_by_date_range

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin", None)
        ]
        mock_db_conn.return_value = mock_client

        result = fetch_s3_objects_by_date_range(
            "redb", False, "2025-01-01", "2025-01-02", force=True
        )

        mock_bulk.assert_not_called()
        assert len(result) == 1


# ============================================================================
# Ingestor Force Parameter Tests
# ============================================================================

class TestIngestorForceParam:
    """Tests for force parameter in Ingestor class."""

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_default_force_false(self, mock_open, mock_datetime, mock_mp):
        """Ingestor defaults force to False."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(path="/tmp/test", repository="test", index_prefix="redb")
        assert ingestor.force is False

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_force_true(self, mock_open, mock_datetime, mock_mp):
        """Ingestor stores force=True when passed."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(path="/tmp/test", repository="test", index_prefix="redb", force=True)
        assert ingestor.force is True


# ============================================================================
# Function Chain Threading Tests
# ============================================================================

class TestForceThreading:
    """Tests that force parameter is correctly threaded through the call chain."""

    @patch('redb.workers.process_binary_file')
    @patch('redb.workers.is_binary_file', return_value=True)
    def test_process_file_internal_passes_force_true(self, mock_is_binary, mock_process):
        """_process_file_internal passes force=True to process_binary_file."""
        from redb.ingestor import _process_file_internal

        mock_process.return_value = (Mock(), "pebin")
        logger = Mock()

        _process_file_internal("/tmp/test.bin", False, "redb", logger, force=True)

        mock_process.assert_called_once()
        call_args = mock_process.call_args
        assert call_args[0][-1] is True

    @patch('redb.workers.process_binary_file')
    @patch('redb.workers.is_binary_file', return_value=True)
    def test_process_file_internal_default_force_false(self, mock_is_binary, mock_process):
        """_process_file_internal defaults force to False."""
        from redb.ingestor import _process_file_internal

        mock_process.return_value = (Mock(), "pebin")
        logger = Mock()

        _process_file_internal("/tmp/test.bin", False, "redb", logger)

        call_args = mock_process.call_args
        assert call_args[0][-1] is False

    @patch('redb.workers._process_file_internal')
    def test_process_file_passes_force(self, mock_internal):
        """process_file passes force to _process_file_internal."""
        from redb.workers import process_file

        mock_internal.return_value = (Mock(), "pebin")

        with patch('redb.workers.setup_direct_logger', return_value=Mock()):
            process_file("/tmp/test.bin", False, "redb", "/tmp/log", 1, 1, force=True)

        mock_internal.assert_called_once()
        call_args = mock_internal.call_args
        assert call_args[0][-1] is True

    @patch('redb.workers._process_file_internal')
    def test_process_s3_file_passes_force(self, mock_internal):
        """process_s3_file passes force to _process_file_internal."""
        from redb.workers import process_s3_file

        mock_internal.return_value = (Mock(), "pebin")

        with patch('redb.workers.setup_direct_logger', return_value=Mock()), \
             patch('redb.workers.download_s3_object', return_value="/tmp/downloaded.bin"):
            process_s3_file(
                "bucket", "key", "/tmp", False, "redb", "/tmp/log", 1, 1,
                force=True
            )

        mock_internal.assert_called_once()
        call_args = mock_internal.call_args
        assert call_args[0][-1] is True

    @patch('redb.workers.process_binary_file')
    def test_process_zip_passes_force(self, mock_process):
        """process_zip_file passes force to process_binary_file."""
        from redb.workers import process_zip_file

        mock_process.return_value = (Mock(), "pebin")
        logger = Mock()

        import tempfile
        import zipfile

        # Create a real zip file with a dummy binary inside
        with tempfile.NamedTemporaryFile(suffix=".zip", delete=False) as tmp:
            tmp_path = tmp.name

        try:
            with zipfile.ZipFile(tmp_path, 'w') as zf:
                zf.writestr("test.bin", b"\x00" * 100)

            process_zip_file(tmp_path, False, "redb", logger, "all", force=True)

            mock_process.assert_called_once()
            call_args = mock_process.call_args
            assert call_args[0][-1] is True
        finally:
            os.unlink(tmp_path)

    @patch('redb.workers.process_binary_file')
    def test_process_7zip_passes_force(self, mock_process):
        """process_7zip_file passes force to process_binary_file."""
        from redb.workers import process_7zip_file

        mock_process.return_value = (Mock(), "pebin")
        logger = Mock()

        with patch('redb.workers.py7zr') as mock_py7zr:
            mock_zf = Mock()
            mock_py7zr.SevenZipFile.return_value.__enter__ = Mock(return_value=mock_zf)
            mock_py7zr.SevenZipFile.return_value.__exit__ = Mock(return_value=False)

            import tempfile

            def fake_extractall(path):
                dest = os.path.join(path, "test.bin")
                with open(dest, "wb") as f:
                    f.write(b"\x00" * 100)

            mock_zf.extractall = fake_extractall

            process_7zip_file("/tmp/test.7z", False, "redb", logger, "all", force=True)

            if mock_process.called:
                call_args = mock_process.call_args
                assert call_args[0][-1] is True


# ============================================================================
# --analyzed CLI Argument Tests
# ============================================================================

class TestAnalyzedCliArgument:
    """Tests for --analyzed CLI argument parsing in start.py."""

    def _parse_args(self, args_list):
        """Helper to parse CLI args without running main()."""
        import argparse

        parser = argparse.ArgumentParser()
        input_group = parser.add_mutually_exclusive_group(required=True)
        input_group.add_argument("--path")
        input_group.add_argument("--s3", action="store_true")
        input_group.add_argument("--s3-solo", metavar="S3_KEY")
        input_group.add_argument("--nomad-job", action="store_true")
        input_group.add_argument("--date", metavar="YYYY-MM-DD")
        input_group.add_argument("--range", nargs=2)
        input_group.add_argument("--analyzed", action="store_true")

        parser.add_argument("--repo")
        parser.add_argument("--index_prefix", default="redb")
        parser.add_argument("-d", "--decompile", action="store_true")
        parser.add_argument("-m", "--modules", default="all")
        parser.add_argument("--force", action="store_true")
        parser.add_argument("--dry-run", action="store_true")
        parser.add_argument("--magika")

        return parser.parse_args(args_list)

    def test_analyzed_flag_default_false(self):
        """--analyzed is False by default."""
        args = self._parse_args(["--path", "/tmp/test", "--repo", "test"])
        assert args.analyzed is False

    def test_analyzed_flag_explicit(self):
        """--analyzed is True when specified."""
        args = self._parse_args(["--analyzed"])
        assert args.analyzed is True

    def test_analyzed_mutually_exclusive_with_path(self):
        """--analyzed and --path cannot be used together."""
        import argparse
        with pytest.raises(SystemExit):
            self._parse_args(["--analyzed", "--path", "/tmp/test"])

    def test_analyzed_mutually_exclusive_with_s3(self):
        """--analyzed and --s3 cannot be used together."""
        import argparse
        with pytest.raises(SystemExit):
            self._parse_args(["--analyzed", "--s3"])

    def test_analyzed_with_decompile(self):
        """--analyzed can be combined with --decompile."""
        args = self._parse_args(["--analyzed", "--decompile"])
        assert args.analyzed is True
        assert args.decompile is True

    def test_analyzed_with_modules(self):
        """--analyzed can be combined with --modules."""
        args = self._parse_args(["--analyzed", "--modules", "HashExtractor"])
        assert args.analyzed is True
        assert args.modules == "HashExtractor"

    def test_analyzed_with_magika(self):
        """--analyzed can be combined with --magika."""
        args = self._parse_args(["--analyzed", "--magika", "elf"])
        assert args.analyzed is True
        assert args.magika == "elf"

    def test_analyzed_with_force(self):
        """--analyzed can be combined with --force."""
        args = self._parse_args(["--analyzed", "--force"])
        assert args.analyzed is True
        assert args.force is True

    def test_analyzed_no_repo_required(self):
        """--analyzed does not require --repo."""
        args = self._parse_args(["--analyzed"])
        assert args.analyzed is True
        assert args.repo is None


# ============================================================================
# fetch_analyzed_samples Tests
# ============================================================================

class TestFetchAnalyzedSamples:
    """Tests for fetch_analyzed_samples() in queries.py."""

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_returns_analyzed_samples(self, mock_settings, mock_formats, mock_gen_key):
        """fetch_analyzed_samples returns samples from basic_properties."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin"),
            ("def456" + "0" * 58, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=False)

        assert len(result) == 2
        assert all(r['s3_bucket'] == 'test-bucket' for r in result)
        assert all(r['s3_key'] == 'ab/cd/abcd.zip' for r in result)

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_queries_basic_properties_table(self, mock_settings, mock_formats, mock_gen_key):
        """fetch_analyzed_samples queries the correct table."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        fetch_analyzed_samples("myprefix", decompile=False)

        query_arg = mock_client.query.call_args[0][0]
        assert "myprefix_basic_properties" in query_arg
        assert "FINAL" in query_arg

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_magika_filter_applied(self, mock_settings, mock_gen_key):
        """fetch_analyzed_samples applies magika_filter when provided."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "elf"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=False, magika_filter="elf")

        query_arg = mock_client.query.call_args[0][0]
        assert "filetype_magika = %(magika)s" in query_arg
        params = mock_client.query.call_args[1].get('parameters') or mock_client.query.call_args[0][1] if len(mock_client.query.call_args[0]) > 1 else mock_client.query.call_args[1].get('parameters', {})
        assert params.get("magika") == "elf"

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_decompile_mode_filters_already_decompiled(self, mock_settings, mock_formats, mock_gen_key):
        """In decompile mode, already-decompiled samples are filtered out."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        # First query: basic_properties returns 3 samples
        # Second query: decompiled table returns 1 already-decompiled
        mock_client.query.side_effect = [
            Mock(result_rows=[
                ("hash1" + "0" * 59, "pebin"),
                ("hash2" + "0" * 59, "pebin"),
                ("hash3" + "0" * 59, "pebin"),
            ]),
            Mock(result_rows=[
                ("hash2" + "0" * 59,),  # already decompiled
            ]),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True)

        assert len(result) == 2
        result_hashes = {r['sha256'] for r in result}
        assert "hash2" + "0" * 59 not in result_hashes

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_decompile_force_skips_decompile_check(self, mock_settings, mock_formats, mock_gen_key):
        """With force=True in decompile mode, decompile check is skipped."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "pebin"),
            ("hash2" + "0" * 59, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True, force=True)

        # Should only query once (basic_properties), no decompile check
        assert mock_client.query.call_count == 1
        assert len(result) == 2

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_analysis_mode_no_decompile_filtering(self, mock_settings, mock_formats, mock_gen_key):
        """In analysis mode (decompile=False), no decompile filtering is done."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "pebin"),
            ("hash2" + "0" * 59, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=False)

        # Only one query (basic_properties), no decompile table check
        assert mock_client.query.call_count == 1
        assert len(result) == 2

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    def test_missing_s3_bucket_returns_empty(self, mock_settings, mock_formats, mock_gen_key):
        """Returns empty list when S3_BUCKET env var is not set."""
        from redb.queries import fetch_analyzed_samples

        # Ensure S3_BUCKET is not set
        with patch.dict(os.environ, {}, clear=True):
            result = fetch_analyzed_samples("redb", decompile=False)

        assert result == []

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_empty_basic_properties_returns_empty(self, mock_settings, mock_formats, mock_gen_key):
        """Returns empty list when no analyzed samples exist."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=False)

        assert result == []

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_handles_bytes_sha256(self, mock_settings, mock_formats, mock_gen_key):
        """Handles bytes-encoded SHA256 from ClickHouse."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        hash_str = "abc123" + "0" * 58
        mock_client.query.return_value.result_rows = [
            (hash_str.encode('utf-8'), "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=False)

        assert len(result) == 1
        assert result[0]['sha256'] == hash_str

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_exception_returns_empty(self, mock_settings, mock_formats, mock_gen_key):
        """Returns empty list on database error."""
        from redb.queries import fetch_analyzed_samples

        mock_settings.create_clickhouse_client.side_effect = Exception("Connection failed")

        result = fetch_analyzed_samples("redb", decompile=False)

        assert result == []

    @patch('redb.queries._check_yara_matches_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_yara_scan_skips_decompile_filtering(self, mock_settings, mock_formats, mock_gen_key, mock_yara_check):
        """With yara_scan=True, decompile filtering is skipped (YARA check runs instead)."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client
        mock_yara_check.return_value = set()  # No already-scanned samples

        result = fetch_analyzed_samples("redb", decompile=True, yara_scan=True)

        # basic_properties queried once, no decompile table check
        assert mock_client.query.call_count == 1
        # YARA check was used instead of decompile check
        mock_yara_check.assert_called_once()
        assert len(result) == 1

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket", "CLICKHOUSE_CODE_PREFIX": "custom_code"})
    def test_decompile_uses_code_prefix_env(self, mock_settings, mock_formats, mock_gen_key):
        """Decompile filtering uses CLICKHOUSE_CODE_PREFIX env var."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.side_effect = [
            Mock(result_rows=[("hash1" + "0" * 59, "pebin")]),
            Mock(result_rows=[]),  # No disassembled samples
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        fetch_analyzed_samples("redb", decompile=True)

        # Second query should reference custom_code prefix with disassembled table
        second_query = mock_client.query.call_args_list[1][0][0]
        assert "custom_code_disassembled_functions_references" in second_query


# ============================================================================
# Ingestor Analyzed Parameter Tests
# ============================================================================

class TestIngestorAnalyzedParam:
    """Tests for analyzed parameter in Ingestor class."""

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_default_analyzed_false(self, mock_open, mock_datetime, mock_mp):
        """Ingestor defaults analyzed to False."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(path="/tmp/test", repository="test", index_prefix="redb")
        assert ingestor.analyzed is False

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_analyzed_true(self, mock_open, mock_datetime, mock_mp):
        """Ingestor stores analyzed=True when passed."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(
            path=None, repository="test", index_prefix="redb",
            s3_mode=True, analyzed=True
        )
        assert ingestor.analyzed is True

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_analyzed_with_decompile(self, mock_open, mock_datetime, mock_mp):
        """Ingestor stores both analyzed and decompile flags."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(
            path=None, repository="test", index_prefix="redb",
            s3_mode=True, analyzed=True, decompile=True
        )
        assert ingestor.analyzed is True
        assert ingestor.decompile is True


# ============================================================================
# Re-export Test for fetch_analyzed_samples
# ============================================================================

class TestAnalyzedReExport:
    """Tests that fetch_analyzed_samples is re-exported from redb.ingestor."""

    def test_importable_from_ingestor(self):
        """fetch_analyzed_samples can be imported from redb.ingestor."""
        from redb.ingestor import fetch_analyzed_samples
        assert callable(fetch_analyzed_samples)


# ============================================================================
# Decompile-Path Per-File Dedup (is_in_code_db) Tests
# ============================================================================

class TestDecompilePerFileDedupBypass:
    """Tests for the per-file is_in_code_db check in the decompile path.

    Verifies that --force correctly bypasses the is_in_code_db check
    for both normal binaries and FAT Mach-O slices.

    Note: DecompileBinja requires blake3/binaryninja which aren't available
    in the test environment. We use two strategies:
    - For "no force" tests: is_in_code_db returns True so the code never
      reaches the DecompileBinja import.
    - For "force" tests: we mock the import mechanism to prevent the real
      import from happening.
    """

    @patch('redb.workers.is_in_code_db')
    @patch('redb.workers.is_in_db')
    @patch('redb.workers._is_packed', return_value=None)
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_decompile_no_force_calls_is_in_code_db(
        self, mock_settings, mock_magika, mock_hashlib,
        mock_packed, mock_is_in_db, mock_is_in_code_db
    ):
        """In decompile mode without --force, is_in_code_db is called and can skip files."""
        from redb.ingestor import process_binary_file, ImportResult

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        # is_in_code_db returns True => file should be skipped
        mock_is_in_code_db.return_value = True

        logger = Mock()

        mock_mod, _ = _mock_decompiler_module()
        with patch.dict(sys.modules, {"redb.extractors.decompiler": mock_mod}):
            with patch('builtins.open', mock_open_binary(b"test data")):
                result, filetype = process_binary_file(
                    "/tmp/test.bin", True, "redb", logger,
                    selected_modules="all", force=False
                )

        mock_is_in_code_db.assert_called_once_with("a" * 64, filetype="pebin")
        assert result == ImportResult.SKIPPED

    @patch('redb.workers.is_in_code_db')
    @patch('redb.workers.is_in_db')
    @patch('redb.workers._is_packed', return_value=None)
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_decompile_no_force_not_in_code_db_proceeds(
        self, mock_settings, mock_magika, mock_hashlib,
        mock_packed, mock_is_in_db, mock_is_in_code_db
    ):
        """In decompile mode without --force, files NOT in code_db proceed to decompile."""
        from redb.ingestor import process_binary_file

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        # is_in_code_db returns False => should proceed to decompile
        mock_is_in_code_db.return_value = False

        logger = Mock()

        mock_mod, mock_decompiler = _mock_decompiler_module()
        with patch.dict(sys.modules, {"redb.extractors.decompiler": mock_mod}):
            with patch('builtins.open', mock_open_binary(b"test data")):
                try:
                    process_binary_file(
                        "/tmp/test.bin", True, "redb", logger,
                        selected_modules="all", force=False
                    )
                except Exception:
                    pass

        mock_is_in_code_db.assert_called_once_with("a" * 64, filetype="pebin")

    @patch('redb.workers.is_in_code_db')
    @patch('redb.workers.is_in_db')
    @patch('redb.workers._is_packed', return_value=None)
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_decompile_force_skips_is_in_code_db(
        self, mock_settings, mock_magika, mock_hashlib,
        mock_packed, mock_is_in_db, mock_is_in_code_db
    ):
        """In decompile mode with --force, is_in_code_db is never called."""
        from redb.ingestor import process_binary_file

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        logger = Mock()

        mock_mod, _ = _mock_decompiler_module()
        with patch.dict(sys.modules, {"redb.extractors.decompiler": mock_mod}):
            with patch('builtins.open', mock_open_binary(b"test data")):
                try:
                    process_binary_file(
                        "/tmp/test.bin", True, "redb", logger,
                        selected_modules="all", force=True
                    )
                except Exception:
                    pass

        # The key assertion: is_in_code_db was never called
        mock_is_in_code_db.assert_not_called()

    @patch('redb.workers.is_in_code_db')
    @patch('redb.workers.is_in_db')
    @patch('redb.workers._is_packed', return_value=None)
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_decompile_packed_skips_is_in_code_db(
        self, mock_settings, mock_magika, mock_hashlib,
        mock_packed, mock_is_in_db, mock_is_in_code_db
    ):
        """Packed files skip decompile entirely, so is_in_code_db is never called."""
        from redb.ingestor import process_binary_file

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        # _is_packed returns a truthy value (packer name)
        mock_packed.return_value = "UPX"

        logger = Mock()

        mock_mod, _ = _mock_decompiler_module()
        with patch.dict(sys.modules, {"redb.extractors.decompiler": mock_mod}):
            with patch('builtins.open', mock_open_binary(b"test data")):
                try:
                    process_binary_file(
                        "/tmp/test.bin", True, "redb", logger,
                        selected_modules="all", force=False
                    )
                except Exception:
                    pass

        mock_is_in_code_db.assert_not_called()

    @patch('redb.workers.is_in_code_db')
    @patch('redb.workers.is_in_db')
    @patch('redb.workers.hashlib')
    @patch('redb.workers.Magika')
    @patch('redb.workers.settings')
    def test_non_decompile_mode_never_calls_is_in_code_db(
        self, mock_settings, mock_magika, mock_hashlib,
        mock_is_in_db, mock_is_in_code_db
    ):
        """In feature-extraction mode (no decompile), is_in_code_db is never called."""
        from redb.ingestor import process_binary_file, ImportResult

        mock_magika_instance = Mock()
        mock_magika_instance.identify_bytes.return_value.output.label = "pebin"
        mock_magika.return_value = mock_magika_instance
        mock_hashlib.sha256.return_value.hexdigest.return_value = "a" * 64
        mock_settings.CLICKHOUSE_HOST = "localhost"
        mock_settings.get_clickhouse_client.return_value = Mock()

        # is_in_db returns True => file skipped by feature-extraction dedup
        mock_is_in_db.return_value = True

        logger = Mock()

        with patch('builtins.open', mock_open_binary(b"test data")):
            result, filetype = process_binary_file(
                "/tmp/test.bin", False, "redb", logger,
                selected_modules="all", force=False
            )

        assert result == ImportResult.SKIPPED
        mock_is_in_db.assert_called_once()
        mock_is_in_code_db.assert_not_called()


# ============================================================================
# --rerun CLI Argument Tests
# ============================================================================

class TestRerunCliArgument:
    """Tests for --rerun CLI argument parsing and validation."""

    def _parse_args(self, args_list):
        """Helper to parse CLI args."""
        import argparse

        parser = argparse.ArgumentParser()
        input_group = parser.add_mutually_exclusive_group(required=True)
        input_group.add_argument("--path")
        input_group.add_argument("--s3", action="store_true")
        input_group.add_argument("--s3-solo", metavar="S3_KEY")
        input_group.add_argument("--nomad-job", action="store_true")
        input_group.add_argument("--date", metavar="YYYY-MM-DD")
        input_group.add_argument("--range", nargs=2)
        input_group.add_argument("--analyzed", action="store_true")

        parser.add_argument("--repo")
        parser.add_argument("--index_prefix", default="redb")
        parser.add_argument("-d", "--decompile", action="store_true")
        parser.add_argument("-m", "--modules", default="all")
        parser.add_argument("--force", action="store_true")
        parser.add_argument("--rerun", action="store_true")
        parser.add_argument("--dry-run", action="store_true")

        return parser.parse_args(args_list)

    def test_rerun_flag_default_false(self):
        """--rerun is False by default."""
        args = self._parse_args(["--analyzed", "-d"])
        assert args.rerun is False

    def test_rerun_flag_explicit(self):
        """--rerun is True when specified."""
        args = self._parse_args(["--analyzed", "-d", "--rerun"])
        assert args.rerun is True

    def test_rerun_with_analyzed_and_decompile(self):
        """--rerun can be combined with --analyzed and --decompile."""
        args = self._parse_args(["--analyzed", "-d", "--rerun"])
        assert args.rerun is True
        assert args.analyzed is True
        assert args.decompile is True


# ============================================================================
# --rerun fetch_analyzed_samples Tests
# ============================================================================

class TestRerunFetchAnalyzedSamples:
    """Tests for --rerun behavior in fetch_analyzed_samples."""

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_rerun_queries_disassembled_table(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode queries disassembled_functions_references with JOIN to basic_properties."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True, rerun=True)

        # Should only make one query (the JOIN query)
        assert mock_client.query.call_count == 1
        query = mock_client.query.call_args_list[0][0][0]
        assert "code_binja_disassembled_functions_references" in query
        assert "redb_basic_properties" in query
        assert "INNER JOIN" in query
        assert len(result) == 1

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_rerun_returns_only_disassembled_samples(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode returns only samples present in disassembled table."""
        from redb.queries import fetch_analyzed_samples

        hash1 = "hash1" + "0" * 59
        mock_client = Mock()
        mock_client.query.return_value.result_rows = [(hash1, "pebin")]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True, rerun=True)

        assert len(result) == 1
        assert result[0]['sha256'] == hash1
        assert result[0]['s3_bucket'] == "test-bucket"

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_rerun_with_magika_filter(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode applies magika filter in the JOIN query."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "elf"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True, rerun=True, magika_filter="elf")

        query = mock_client.query.call_args_list[0][0][0]
        assert "bp.filetype_magika" in query
        params = mock_client.query.call_args_list[0][1].get("parameters", {})
        assert params.get("magika") == "elf"
        assert len(result) == 1

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket", "CLICKHOUSE_CODE_PREFIX": "custom_code"})
    def test_rerun_uses_code_prefix_env(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode uses CLICKHOUSE_CODE_PREFIX env var."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        fetch_analyzed_samples("redb", decompile=True, rerun=True)

        query = mock_client.query.call_args_list[0][0][0]
        assert "custom_code_disassembled_functions_references" in query

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_rerun_empty_disassembled_table(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode returns empty list when no disassembled samples exist."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True, rerun=True)

        assert result == []

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    def test_rerun_missing_s3_bucket(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode returns empty list when S3_BUCKET is not set."""
        from redb.queries import fetch_analyzed_samples

        with patch.dict(os.environ, {}, clear=True):
            result = fetch_analyzed_samples("redb", decompile=True, rerun=True)

        assert result == []

    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_rerun_handles_bytes_sha256(self, mock_settings, mock_formats, mock_gen_key):
        """Rerun mode handles bytes-encoded SHA256 from ClickHouse."""
        from redb.queries import fetch_analyzed_samples

        hash_str = "abc123" + "0" * 58
        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            (hash_str.encode('utf-8'), "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=True, rerun=True)

        assert len(result) == 1
        assert result[0]['sha256'] == hash_str


# ============================================================================
# --rerun Ingestor Parameter Tests
# ============================================================================

class TestIngestorRerunParam:
    """Tests for rerun parameter in Ingestor class."""

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_default_rerun_false(self, mock_open, mock_datetime, mock_mp):
        """Ingestor defaults rerun to False."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(path="/tmp/test", repository="test", index_prefix="redb")
        assert ingestor.rerun is False

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_rerun_true(self, mock_open, mock_datetime, mock_mp):
        """Ingestor stores rerun=True when passed."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(
            path=None, repository="test", index_prefix="redb",
            s3_mode=True, analyzed=True, decompile=True, rerun=True
        )
        assert ingestor.rerun is True

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def test_ingestor_rerun_with_decompile_modules(self, mock_open, mock_datetime, mock_mp):
        """Ingestor stores rerun alongside decompile_modules."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        ingestor = Ingestor(
            path=None, repository="test", index_prefix="redb",
            s3_mode=True, analyzed=True, decompile=True, rerun=True,
            decompile_modules={"cfg"}
        )
        assert ingestor.rerun is True
        assert ingestor.decompile_modules == {"cfg"}


# ============================================================================
# YARA --force Dedup Tests
# ============================================================================

class TestYaraForceDedup:
    """Tests for --force behavior with YARA scanning.

    Default (no --force): skip samples already in yara_matches.
    With --force: scan everything (rescan all samples).
    """

    # --- is_in_db_bulk YARA path ---

    @patch('redb.queries.settings')
    def test_is_in_db_bulk_yara_returns_already_scanned(self, mock_settings):
        """In YARA mode, is_in_db_bulk queries yara_matches and returns already-scanned hashes."""
        from redb.queries import is_in_db_bulk

        mock_client = Mock()
        # hex(sha256) returns uppercase by convention from ClickHouse
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58,),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = is_in_db_bulk(
            ["abc123" + "0" * 58, "def456" + "0" * 58],
            "redb", decompile=False, yara_scan=True
        )

        # Should have queried yara_matches
        query = mock_client.query.call_args[0][0]
        assert "yara_matches" in query
        assert "unhex(" in query
        # Should return the already-scanned hash
        assert "abc123" + "0" * 58 in result
        assert "def456" + "0" * 58 not in result

    @patch('redb.queries.settings')
    def test_is_in_db_bulk_yara_empty_table(self, mock_settings):
        """In YARA mode with empty yara_matches, no samples are skipped."""
        from redb.queries import is_in_db_bulk

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = is_in_db_bulk(
            ["abc123" + "0" * 58],
            "redb", decompile=False, yara_scan=True
        )

        assert len(result) == 0

    @patch('redb.queries.settings')
    def test_is_in_db_bulk_yara_handles_bytes_response(self, mock_settings):
        """YARA dedup correctly handles bytes-encoded hex response from ClickHouse."""
        from redb.queries import is_in_db_bulk

        hash_hex = "abc123" + "0" * 58
        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            (hash_hex.upper().encode('utf-8'),),  # bytes, uppercase
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = is_in_db_bulk(
            [hash_hex],
            "redb", decompile=False, yara_scan=True
        )

        # Should normalize to lowercase
        assert hash_hex in result

    @patch('redb.queries.settings')
    def test_is_in_db_bulk_yara_db_error_raises(self, mock_settings):
        """On DB error, YARA dedup raises RuntimeError to prevent reprocessing all samples."""
        from redb.queries import is_in_db_bulk
        import pytest

        mock_settings.create_clickhouse_client.side_effect = Exception("Connection failed")

        with pytest.raises(RuntimeError, match="YARA dedup query failed"):
            is_in_db_bulk(
                ["abc123" + "0" * 58],
                "redb", decompile=False, yara_scan=True
            )

    def test_is_in_db_bulk_yara_empty_list(self):
        """is_in_db_bulk with empty list returns empty set."""
        from redb.queries import is_in_db_bulk

        result = is_in_db_bulk([], "redb", decompile=False, yara_scan=True)
        assert result == set()

    # --- fetch_s3_objects_by_repository YARA+force ---

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_repo_yara_default_calls_bulk_check(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """Without --force, YARA fetch calls is_in_db_bulk to skip already-scanned."""
        from redb.ingestor import fetch_s3_objects_by_repository

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin", None),
            ("def456" + "0" * 58, "pebin", None),
        ]
        mock_db_conn.return_value = mock_client
        mock_bulk.return_value = {"abc123" + "0" * 58}  # One already scanned

        result = fetch_s3_objects_by_repository(
            "test_repo", "redb", False, yara_scan=True, force=False
        )

        mock_bulk.assert_called_once()
        # The yara_scan=True should be passed through
        assert mock_bulk.call_args[0][3] is True  # yara_scan arg
        # One sample should be filtered out
        assert len(result) == 1

    @patch('redb.queries.is_in_db_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.get_db_catalog_connection')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_by_repo_yara_force_skips_bulk_check(
        self, mock_db_conn, mock_formats, mock_gen_key, mock_bulk
    ):
        """With --force, YARA fetch skips is_in_db_bulk entirely."""
        from redb.ingestor import fetch_s3_objects_by_repository

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("abc123" + "0" * 58, "pebin", None),
            ("def456" + "0" * 58, "pebin", None),
        ]
        mock_db_conn.return_value = mock_client

        result = fetch_s3_objects_by_repository(
            "test_repo", "redb", False, yara_scan=True, force=True
        )

        mock_bulk.assert_not_called()
        assert len(result) == 2

    # --- fetch_analyzed_samples YARA+force ---

    @patch('redb.queries._check_yara_matches_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_analyzed_yara_default_filters_already_scanned(
        self, mock_settings, mock_formats, mock_gen_key, mock_yara_check
    ):
        """Without --force, fetch_analyzed_samples filters already YARA-scanned samples."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        hash1 = "hash1" + "0" * 59
        hash2 = "hash2" + "0" * 59
        hash3 = "hash3" + "0" * 59
        mock_client.query.return_value.result_rows = [
            (hash1, "pebin"),
            (hash2, "pebin"),
            (hash3, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client
        mock_yara_check.return_value = {hash2}  # hash2 already scanned

        result = fetch_analyzed_samples("redb", decompile=False, yara_scan=True, force=False)

        mock_yara_check.assert_called_once()
        assert len(result) == 2
        result_hashes = {r['sha256'] for r in result}
        assert hash2 not in result_hashes

    @patch('redb.queries._check_yara_matches_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_analyzed_yara_force_skips_yara_check(
        self, mock_settings, mock_formats, mock_gen_key, mock_yara_check
    ):
        """With --force, fetch_analyzed_samples skips YARA dedup check."""
        from redb.queries import fetch_analyzed_samples

        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            ("hash1" + "0" * 59, "pebin"),
            ("hash2" + "0" * 59, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client

        result = fetch_analyzed_samples("redb", decompile=False, yara_scan=True, force=True)

        mock_yara_check.assert_not_called()
        assert len(result) == 2

    @patch('redb.queries._check_yara_matches_bulk')
    @patch('redb.queries.generate_s3_key_from_hash', return_value="ab/cd/abcd.zip")
    @patch('redb.queries.get_supported_formats', return_value=["pebin"])
    @patch('redb.queries.settings')
    @patch.dict(os.environ, {"S3_BUCKET": "test-bucket"})
    def test_fetch_analyzed_yara_all_already_scanned(
        self, mock_settings, mock_formats, mock_gen_key, mock_yara_check
    ):
        """When all samples already scanned, returns empty list."""
        from redb.queries import fetch_analyzed_samples

        hash1 = "hash1" + "0" * 59
        mock_client = Mock()
        mock_client.query.return_value.result_rows = [
            (hash1, "pebin"),
        ]
        mock_settings.create_clickhouse_client.return_value = mock_client
        mock_yara_check.return_value = {hash1}

        result = fetch_analyzed_samples("redb", decompile=False, yara_scan=True, force=False)

        assert len(result) == 0

    # --- _check_yara_matches_bulk direct tests ---

    @patch('redb.queries.settings')
    def test_check_yara_matches_bulk_builds_unhex_query(self, mock_settings):
        """_check_yara_matches_bulk uses unhex() for binary sha256 comparison."""
        from redb.queries import _check_yara_matches_bulk

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        hash1 = "aabb" + "0" * 60
        _check_yara_matches_bulk([hash1])

        query = mock_client.query.call_args[0][0]
        assert f"unhex('{hash1}')" in query
        assert "hex(sha256)" in query
        assert "yara_matches" in query

    @patch('redb.queries.settings')
    def test_check_yara_matches_bulk_batches_large_lists(self, mock_settings):
        """_check_yara_matches_bulk batches queries for large hash lists."""
        from redb.queries import _check_yara_matches_bulk

        mock_client = Mock()
        mock_client.query.return_value.result_rows = []
        mock_settings.create_clickhouse_client.return_value = mock_client

        # Create list larger than batch_size (3900)
        hashes = [f"{i:064x}" for i in range(4000)]
        _check_yara_matches_bulk(hashes)

        # Should have made 2 queries (3900 + 100)
        assert mock_client.query.call_count == 2


# ============================================================================
# Query Dispatch Tests (--analyzed + --date/--range flag combinations)
# ============================================================================

class TestIngestorQueryDispatch:
    """Tests that the ingestor dispatches to the correct query function
    based on flag combinations.

    Regression tests for a bug where `if self.analyzed` was checked before
    `if self.start_date and self.end_date`, causing --analyzed --date/--range
    to ignore the date filter and query all 4M+ samples from basic_properties.
    """

    @patch('redb.ingestor.multiprocessing')
    @patch('redb.ingestor.datetime')
    @patch('builtins.open', create=True)
    def _make_ingestor(self, mock_open, mock_datetime, mock_mp, **kwargs):
        """Helper to create an Ingestor with mocked multiprocessing/datetime."""
        mock_open.return_value.__enter__ = Mock()
        mock_open.return_value.__exit__ = Mock(return_value=False)
        mock_datetime.today.return_value.strftime.return_value = "20260222"

        from redb.ingestor import Ingestor
        defaults = dict(
            path=None, repository="analyzed", index_prefix="redb",
            s3_mode=True, force=True,
        )
        defaults.update(kwargs)
        return Ingestor(**defaults)

    @patch('redb.ingestor.fetch_analyzed_samples', return_value=[])
    @patch('redb.ingestor.fetch_s3_objects_by_date_range', return_value=[])
    def test_analyzed_with_date_uses_date_range_query(
        self, mock_date_range, mock_analyzed
    ):
        """--analyzed --date should use fetch_s3_objects_by_date_range, not fetch_analyzed_samples."""
        ingestor = self._make_ingestor(
            analyzed=True, start_date="2025-01-15", end_date="2025-01-16"
        )
        ingestor.ingest()

        mock_date_range.assert_called_once()
        mock_analyzed.assert_not_called()
        # Verify analyzed=True was passed through to the date range query
        call_kwargs = mock_date_range.call_args
        assert call_kwargs[1].get('analyzed') or call_kwargs[0][-1] if call_kwargs[0] else call_kwargs[1].get('analyzed') is True

    @patch('redb.ingestor.fetch_analyzed_samples', return_value=[])
    @patch('redb.ingestor.fetch_s3_objects_by_date_range', return_value=[])
    def test_analyzed_with_range_uses_date_range_query(
        self, mock_date_range, mock_analyzed
    ):
        """--analyzed --range should use fetch_s3_objects_by_date_range, not fetch_analyzed_samples."""
        ingestor = self._make_ingestor(
            analyzed=True, start_date="2025-01-01", end_date="2025-01-31"
        )
        ingestor.ingest()

        mock_date_range.assert_called_once()
        mock_analyzed.assert_not_called()

    @patch('redb.ingestor.fetch_analyzed_samples', return_value=[])
    @patch('redb.ingestor.fetch_s3_objects_by_date_range', return_value=[])
    def test_analyzed_standalone_uses_fetch_analyzed(
        self, mock_date_range, mock_analyzed
    ):
        """--analyzed without --date/--range should use fetch_analyzed_samples."""
        ingestor = self._make_ingestor(
            analyzed=True, start_date=None, end_date=None
        )
        ingestor.ingest()

        mock_analyzed.assert_called_once()
        mock_date_range.assert_not_called()

    @patch('redb.ingestor.fetch_analyzed_samples', return_value=[])
    @patch('redb.ingestor.fetch_s3_objects_by_date_range', return_value=[])
    def test_date_without_analyzed_uses_date_range_query(
        self, mock_date_range, mock_analyzed
    ):
        """--date without --analyzed should use fetch_s3_objects_by_date_range with analyzed=False."""
        ingestor = self._make_ingestor(
            analyzed=False, start_date="2025-01-15", end_date="2025-01-16"
        )
        ingestor.ingest()

        mock_date_range.assert_called_once()
        mock_analyzed.assert_not_called()

    @patch('redb.ingestor.fetch_analyzed_samples', return_value=[])
    @patch('redb.ingestor.fetch_s3_objects_by_date_range', return_value=[])
    def test_analyzed_with_date_passes_analyzed_flag(
        self, mock_date_range, mock_analyzed
    ):
        """--analyzed --date should pass analyzed=True to fetch_s3_objects_by_date_range."""
        ingestor = self._make_ingestor(
            analyzed=True, start_date="2025-01-15", end_date="2025-01-16"
        )
        ingestor.ingest()

        mock_date_range.assert_called_once()
        _, kwargs = mock_date_range.call_args
        assert kwargs.get('analyzed') is True

    @patch('redb.ingestor.fetch_analyzed_samples', return_value=[])
    @patch('redb.ingestor.fetch_s3_objects_by_date_range', return_value=[])
    def test_analyzed_with_date_passes_date_params(
        self, mock_date_range, mock_analyzed
    ):
        """--analyzed --date should pass correct start_date and end_date."""
        ingestor = self._make_ingestor(
            analyzed=True, start_date="2025-03-01", end_date="2025-03-15"
        )
        ingestor.ingest()

        mock_date_range.assert_called_once()
        _, kwargs = mock_date_range.call_args
        assert kwargs.get('start_date') == "2025-03-01"
        assert kwargs.get('end_date') == "2025-03-15"


# ============================================================================
# Helpers
# ============================================================================

def mock_open_binary(content):
    """Create a mock for open() that returns binary content."""
    mock = MagicMock()
    mock.return_value.__enter__ = Mock(return_value=Mock(read=Mock(return_value=content)))
    mock.return_value.__exit__ = Mock(return_value=False)
    return mock