Method analyze

agent/custom/reco/activity.py:177–249

(
        self,
        context: Context,
        argv: CustomRecognition.AnalyzeArg,
    )

    """

    def analyze(
        self,
        context: Context,
        argv: CustomRecognition.AnalyzeArg,
    ) -> CustomRecognition.AnalyzeResult | RectType | None:

        level = parse_params(argv.custom_recognition_param, "level")["level"]

        # level 1
        if level == 1:
            reco_detail = context.run_recognition(
                "SailingRecordFindDifficult", argv.image
            )
            if is_hit(reco_detail):
                # 扩展 roi 到 click_target
                box = [
                    reco_detail.box[0] - 317,
                    reco_detail.box[1] + 25,
                    reco_detail.box[2] + 318,
                    reco_detail.box[3] + 50,
                ]
                # 识别并记录数字
                reco_detail = context.run_recognition(
                    "SailingRecordFindNormal",
                    argv.image,
                    {"SailingRecordFindNormal": {"roi": box, "only_rec": False}},
                )
                text = ocr_text(reco_detail)
                # 提取数字，支持负数
                match = re.search(r"(-?\d+)\s*~\s*(-?\d+)", text)
                if match:
                    num1, num2 = int(match.group(1)), int(match.group(2))
                SailingRecordSelectTarget.min = num1
                SailingRecordSelectTarget.max = num2
                return CustomRecognition.AnalyzeResult(box=box, detail={})
            return CustomRecognition.AnalyzeResult(box=None, detail={})

        # level 0
        if level == 0:
            reco_details = []
            for roi in [[174, 255, 140, 19], [176, 374, 137, 20], [175, 492, 125, 23]]:
                reco_detail = context.run_recognition(
                    "SailingRecordFindNormal",
                    argv.image,
                    {"SailingRecordFindNormal": {"roi": roi}},
                )
                if not is_hit(reco_detail):
                    return CustomRecognition.AnalyzeResult(box=None, detail={})
                reco_details.append(reco_detail)

            diffs, nums = [], []
            for detail in reco_details:
                # text: 所需点数20~25 或 所需点数-3~3 (含负数)
                text = ocr_text(detail)
                # 提取数字，支持负数
                match = re.search(r"(-?\d+)\s*~\s*(-?\d+)", text)
                if match:
                    num1, num2 = int(match.group(1)), int(match.group(2))