mirror of
https://github.com/FoundationAgents/MetaGPT.git
synced 2026-05-03 12:52:37 +02:00
Update env & test code
This commit is contained in:
didi
better629
parent
26bbdef6c6
commit
ba2fdb222e
11 changed files with 98 additions and 74 deletions
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@ -16,3 +16,6 @@ ## Free Your Hands
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### By Text
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### By Voice
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## Run It
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python run_assistant.py "Create a contact in Contacts App named zjy with a phone number +86 18831933368" --mode "manual" --app-name "Contacts"
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@ -33,7 +33,8 @@ class ManualRecord(Action):
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screenshot_after_path: Path = ""
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xml_path: Path = ""
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async def run(self, demo_name: str, task_desc: str,task_dir: Path, env: AndroidEnv):
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# async def run(self, demo_name: str, task_desc: str,task_dir: Path, env: AndroidEnv):
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async def run(self, task_desc: str, task_dir: Path, env: AndroidEnv):
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self.record_path = Path(task_dir) / "record.txt"
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self.task_desc_path = Path(task_dir) / "task_desc.txt"
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@ -53,16 +54,18 @@ class ManualRecord(Action):
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step = 0
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while True:
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step += 1
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screenshot_path: Path = env.observe(
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screenshot_path: Path = await env.observe(
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EnvAPIAbstract(
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api_name="get_screenshot",
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kwargs={"ss_name": f"{demo_name}_{step}", "local_save_dir": self.screenshot_before_path}
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# kwargs={"ss_name": f"{demo_name}_{step}", "local_save_dir": self.screenshot_before_path}
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kwargs={"ss_name": f"{step}", "local_save_dir": self.screenshot_before_path}
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)
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)
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xml_path: Path = env.observe(
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xml_path: Path = await env.observe(
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EnvAPIAbstract(
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api_name="get_xml",
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kwargs={"xml_name": f"{demo_name}_{step}", "local_save_dir": self.xml_path}
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# kwargs={"xml_name": f"{demo_name}_{step}", "local_save_dir": self.xml_path}
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kwargs={"xml_name": f"{step}", "local_save_dir": self.xml_path}
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)
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)
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if not screenshot_path.exists() or not xml_path.exists():
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@ -86,14 +89,13 @@ class ManualRecord(Action):
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bbox = e.bbox
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center_ = (bbox[0][0] + bbox[1][0]) // 2, (bbox[0][1] + bbox[1][1]) // 2
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dist = (abs(center[0] - center_[0]) ** 2 + abs(center[1] - center_[1]) ** 2) ** 0.5
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# TODO Modify config to default 30. It should be modified back config after single action test
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# if dist <= config.get_other("min_dist"):
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if dist <= 30:
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if dist <= config.get_other("min_dist"):
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close = True
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break
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if not close:
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elem_list.append(elem)
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screenshot_labeled_path = Path(self.screenshot_after_path).joinpath(f"{demo_name}_{step}_labeled.png")
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screenshot_labeled_path = Path(self.screenshot_after_path).joinpath(f"{step}_labeled.png")
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# screenshot_labeled_path = Path(self.screenshot_after_path).joinpath(f"{demo_name}_{step}_labeled.png")
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labeled_img = draw_bbox_multi(screenshot_path, screenshot_labeled_path, elem_list)
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cv2.imshow("image", labeled_img)
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@ -142,7 +144,7 @@ class ManualRecord(Action):
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user_input = ""
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while not user_input:
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user_input = input()
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env.step(EnvAPIAbstract(api_name="user_input", kwargs={"input_txt": user_input}))
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await env.step(EnvAPIAbstract(api_name="user_input", kwargs={"input_txt": user_input}))
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record_file.write(f'text({input_area}:sep:"{user_input}"):::{elem_list[int(input_area) - 1].uid}\n')
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elif user_input.lower() == ActionOp.LONG_PRESS.value:
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logger.info(
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@ -38,9 +38,9 @@ class ParseRecord(Action):
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screenshot_before_path: Path = ""
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screenshot_after_path: Path = ""
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async def run(self, app_name: str, demo_name: str, task_dir: Path, docs_dir: Path, env: AndroidEnv):
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if not docs_dir.exists():
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docs_dir.mkdir(parents=True, exist_ok=True)
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# async def run(self, app_name: str, demo_name: str, task_dir: Path, docs_dir: Path, env: AndroidEnv):
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async def run(self, app_name: str, task_dir: Path, docs_dir: Path, env: AndroidEnv):
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docs_dir.mkdir(parents=True, exist_ok=True)
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doc_count = 0
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self.record_path = Path(task_dir) / "record.txt"
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self.task_desc_path = Path(task_dir) / "task_desc.txt"
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@ -51,8 +51,10 @@ class ParseRecord(Action):
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record_step_count = len(record_file.readlines()) - 1
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record_file.seek(0)
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for step in range(1, record_step_count + 1):
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img_before_base64 = encode_image(self.screenshot_after_path.joinpath(f"{demo_name}_{step}_labeled.png"))
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img_after_base64 = encode_image(self.screenshot_after_path.joinpath(f"{demo_name}_{step + 1}_labeled.png"))
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# img_before_base64 = encode_image(self.screenshot_after_path.joinpath(f"{demo_name}_{step}_labeled.png"))
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# img_after_base64 = encode_image(self.screenshot_after_path.joinpath(f"{demo_name}_{step + 1}_labeled.png"))
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img_before_base64 = encode_image(self.screenshot_after_path.joinpath(f"{step}_labeled.png"))
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img_after_base64 = encode_image(self.screenshot_after_path.joinpath(f"{step + 1}_labeled.png"))
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rec = record_file.readline().strip()
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action, resource_id = rec.split(":::")
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action_type = action.split("(")[0]
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@ -110,8 +112,8 @@ class ParseRecord(Action):
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)
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if "error" in node.content:
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return AndroidActionOutput(action_state=RunState.FAIL)
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log_path = task_dir.joinpath(f"log_{app_name}_{demo_name}.txt")
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# log_path = task_dir.joinpath(f"log_{app_name}_{demo_name}.txt")
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log_path = task_dir.joinpath(f"log_{app_name}.txt")
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prompt = node.compile(context=context, schema="json", mode="auto")
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msg = node.content
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doc_content[action_type] = msg
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@ -92,13 +92,13 @@ class ScreenshotParse(Action):
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if not path.exists():
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path.mkdir(parents=True, exist_ok=True)
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screenshot_path: Path = env.observe(
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screenshot_path: Path = await env.observe(
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EnvAPIAbstract(
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api_name="get_screenshot",
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kwargs={"ss_name": f"{round_count}_before", "local_save_dir": task_dir}
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)
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)
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xml_path: Path = env.observe(
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xml_path: Path = await env.observe(
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EnvAPIAbstract(
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api_name="get_xml",
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kwargs={"xml_name": f"{round_count}", "local_save_dir": task_dir}
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@ -121,9 +121,7 @@ class ScreenshotParse(Action):
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bbox = e.bbox
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center_ = (bbox[0][0] + bbox[1][0]) // 2, (bbox[0][1] + bbox[1][1]) // 2
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dist = (abs(center[0] - center_[0]) ** 2 + abs(center[1] - center_[1]) ** 2) ** 0.5
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# TODO Modify config to default 30. It should be modified back config after single action test
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# if dist <= config.get_other("min_dist"):
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if dist <= 30:
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if dist <= config.get_other("min_dist"):
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close = True
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break
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if not close:
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@ -156,21 +154,21 @@ class ScreenshotParse(Action):
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if isinstance(op_param, TapOp):
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x, y = elem_bbox_to_xy(elem_list[op_param.area - 1].bbox)
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res = env.step(EnvAPIAbstract(api_name="system_tap", kwargs={"x": x, "y": y}))
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res = await env.step(EnvAPIAbstract(api_name="system_tap", kwargs={"x": x, "y": y}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, TextOp):
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res = env.step(EnvAPIAbstract(api_name="user_input", kwargs={"input_txt": op_param.input_str}))
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res = await env.step(EnvAPIAbstract(api_name="user_input", kwargs={"input_txt": op_param.input_str}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, LongPressOp):
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x, y = elem_bbox_to_xy(elem_list[op_param.area - 1].bbox)
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res = env.step(EnvAPIAbstract(api_name="user_longpress", kwargs={"x": x, "y": y}))
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res = await env.step(EnvAPIAbstract(api_name="user_longpress", kwargs={"x": x, "y": y}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, SwipeOp_3):
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x, y = elem_bbox_to_xy(elem_list[op_param.area - 1].bbox)
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res = env.step(
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res = await env.step(
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EnvAPIAbstract(
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api_name="user_swipe",
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kwargs={"x": x, "y": y, "orient": op_param.swipe_orient, "dist": op_param.dist}
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@ -183,18 +181,18 @@ class ScreenshotParse(Action):
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elif isinstance(op_param, TapGridOp) or isinstance(op_param, LongPressGridOp):
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x, y = area_to_xy(op_param.area, op_param.subarea, env.width, env.height, env.rows, env.cols)
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if isinstance(op_param, TapGridOp):
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res = env.step(EnvAPIAbstract(api_name="system_tap", kwargs={"x": x, "y": y}))
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res = await env.step(EnvAPIAbstract(api_name="system_tap", kwargs={"x": x, "y": y}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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else:
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# LongPressGridOp
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res = env.step(EnvAPIAbstract(api_name="user_longpress", kwargs={"x": x, "y": y}))
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res = await env.step(EnvAPIAbstract(api_name="user_longpress", kwargs={"x": x, "y": y}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, SwipeGridOp):
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start_x, start_y = area_to_xy(op_param.start_area, op_param.start_subarea, width, height, rows, cols)
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end_x, end_y = area_to_xy(op_param.end_area, op_param.end_subarea, width, height, rows, cols)
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res = env.step(
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res = await env.step(
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EnvAPIAbstract(api_name="user_swipe_to", kwargs={"start": (start_x, start_y), "end": (end_x, end_y)}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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@ -26,6 +26,7 @@ from examples.andriod_assistant.utils.schema import (
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ReflectLogItem,
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RunState,
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SwipeOp,
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SwipeOp_3,
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TapOp,
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TextOp,
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)
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@ -70,12 +71,12 @@ class SelfLearnAndReflect(Action):
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async def run_self_learn(
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self, round_count: int, task_desc: str, last_act: str, task_dir: Path, env: AndroidEnv
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) -> AndroidActionOutput:
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screenshot_path: Path = env.observe(
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screenshot_path: Path = await env.observe(
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EnvAPIAbstract(
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api_name="get_screenshot", kwargs={"ss_name": f"{round_count}_before", "local_save_dir": task_dir}
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)
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)
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xml_path: Path = env.observe(
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xml_path: Path = await env.observe(
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EnvAPIAbstract(api_name="get_xml", kwargs={"xml_name": f"{round_count}", "local_save_dir": task_dir})
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)
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if not screenshot_path.exists() or not xml_path.exists():
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@ -100,9 +101,7 @@ class SelfLearnAndReflect(Action):
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bbox = e.bbox
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center_ = (bbox[0][0] + bbox[1][0]) // 2, (bbox[0][1] + bbox[1][1]) // 2
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dist = (abs(center[0] - center_[0]) ** 2 + abs(center[1] - center_[1]) ** 2) ** 0.5
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# TODO Modify config to default 30. It should be modified back config after single action test
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# if dist <= config.get_other("min_dist"):
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if dist <= 30:
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if dist <= config.get_other("min_dist"):
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close = True
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break
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if not close:
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@ -125,7 +124,6 @@ class SelfLearnAndReflect(Action):
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OpLogItem(step=round_count, prompt=prompt, image=str(screenshot_before_labeled_path), response=node.content)
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op_param = screenshot_parse_extract(node.instruct_content.model_dump(), grid_on=False)
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# TODO Modify Op_param. When op_param.action is FINISH, how to solve this ?
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logger.info(op_param)
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if op_param.param_state == RunState.FINISH:
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return AndroidActionOutput(action_state=RunState.FINISH)
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if op_param.param_state == RunState.FAIL:
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@ -134,26 +132,26 @@ class SelfLearnAndReflect(Action):
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if isinstance(op_param, TapOp):
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self.ui_area = op_param.area
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x, y = elem_bbox_to_xy(elem_list[op_param.area - 1].bbox)
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res = env.step(EnvAPIAbstract(api_name="system_tap", kwargs={"x": x, "y": y}))
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res = await env.step(EnvAPIAbstract(api_name="system_tap", kwargs={"x": x, "y": y}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, TextOp):
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res = env.step(EnvAPIAbstract(api_name="user_input", kwargs={"input_txt": op_param.input_str}))
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res = await env.step(EnvAPIAbstract(api_name="user_input", kwargs={"input_txt": op_param.input_str}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, LongPressOp):
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self.ui_area = op_param.area
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x, y = elem_bbox_to_xy(elem_list[op_param.area - 1].bbox)
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res = env.step(EnvAPIAbstract(api_name="user_longpress", kwargs={"x": x, "y": y}))
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res = await env.step(EnvAPIAbstract(api_name="user_longpress", kwargs={"x": x, "y": y}))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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elif isinstance(op_param, SwipeOp):
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elif isinstance(op_param, SwipeOp_3):
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self.ui_area = op_param.area
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self.swipe_orient = op_param.swipe_orient
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x, y = elem_bbox_to_xy(elem_list[op_param.area - 1].bbox)
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res = env.step(
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res = await env.step(
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EnvAPIAbstract(
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"user_swipe", kwargs={"x": x, "y": y, "orient": op_param.swipe_orient, "dist": op_param.dist}
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api_name="user_swipe", kwargs={"x": x, "y": y, "orient": op_param.swipe_orient, "dist": op_param.dist}
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)
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)
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if res == ADB_EXEC_FAIL:
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@ -167,8 +165,7 @@ class SelfLearnAndReflect(Action):
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async def run_reflect(
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self, round_count: int, task_desc: str, last_act: str, task_dir: Path, docs_dir: Path, env: AndroidEnv
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) -> AndroidActionOutput:
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logger.info("run_reflect")
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screenshot_path: Path = env.observe(
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screenshot_path: Path = await env.observe(
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EnvAPIAbstract(
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api_name="get_screenshot", kwargs={"ss_name": f"{round_count}_after", "local_save_dir": task_dir}
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)
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@ -180,7 +177,6 @@ class SelfLearnAndReflect(Action):
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draw_bbox_multi(screenshot_path, screenshot_after_labeled_path, elem_list=self.elem_list)
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img_base64 = encode_image(screenshot_after_labeled_path)
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logger.info(f"act_name: {self.act_name}")
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if self.act_name == ActionOp.TAP.value:
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action = "tapping"
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elif self.act_name == ActionOp.LONG_PRESS.value:
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@ -225,7 +221,7 @@ class SelfLearnAndReflect(Action):
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self.useless_list.append(resource_id)
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last_act = "NONE"
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if op_param.decision == Decision.BACK.value:
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res = env.step(EnvAPIAbstract(api_name="system_back"))
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res = await env.step(EnvAPIAbstract(api_name="system_back"))
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if res == ADB_EXEC_FAIL:
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return AndroidActionOutput(action_state=RunState.FAIL)
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doc = op_param.documentation
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@ -37,7 +37,8 @@ class AndroidAssistant(Role):
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self._watch([UserRequirement])
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app_name = config.get_other("app_name", "demo")
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data_dir = Path(__file__).parent.joinpath("..", "output")
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curr_path = Path(__file__).parent
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data_dir = curr_path.joinpath("..", "output")
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cur_datetime = datetime.fromtimestamp(int(time.time())).strftime("%Y-%m-%d_%H-%M-%S")
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"""Firstly, we decide the state with user config, further, we can do it automatically, like if it's new app,
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@ -67,39 +68,57 @@ class AndroidAssistant(Role):
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self._set_react_mode(RoleReactMode.BY_ORDER)
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def _check_dir(self):
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self.task_dir.mkdir(exist_ok=True)
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self.docs_dir.mkdir(exist_ok=True)
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self.task_dir.mkdir(parents=True, exist_ok=True)
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self.docs_dir.mkdir(parents=True, exist_ok=True)
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async def react(self) -> Message:
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self.round_count += 1
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super().react()
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result = await super().react()
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print(f"react result {result}")
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return result
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async def _act(self) -> Message:
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# Question: How to achieve self_learn's loop action ?
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logger.info(f"{self._setting}: to do {self.rc.todo}({self.rc.todo.name})")
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todo = self.rc.todo
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send_to = ""
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if isinstance(todo, ManualRecord):
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resp = await todo.run()
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resp = await todo.run(
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# demo_name="",
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task_dir=self.task_dir,
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task_desc=self.task_desc,
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env=self.rc.env
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)
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elif isinstance(todo, ParseRecord):
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resp = await todo.run()
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resp = await todo.run(
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app_name=config.get_other("app_name", "demo"),
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task_dir=self.task_dir,
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docs_dir=self.docs_dir,
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env=self.rc.env
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)
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elif isinstance(todo, SelfLearnAndReflect):
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resp = await todo.run(round_count=self.round_count,
|
||||
task_desc=self.task_desc,
|
||||
last_act=self.last_act,
|
||||
task_dir=self.task_dir,
|
||||
docs_dir=self.docs_dir,
|
||||
env=self.rc.env)
|
||||
resp = await todo.run(
|
||||
round_count=self.round_count,
|
||||
task_desc=self.task_desc,
|
||||
last_act=self.last_act,
|
||||
task_dir=self.task_dir,
|
||||
docs_dir=self.docs_dir,
|
||||
env=self.rc.env
|
||||
)
|
||||
if resp.action_state == RunState.SUCCESS:
|
||||
self.last_act = resp.data.get("last_act")
|
||||
send_to = self.name
|
||||
|
||||
elif isinstance(todo, ScreenshotParse):
|
||||
resp = await todo.run(round_count=self.round_count,
|
||||
task_desc=self.task_desc,
|
||||
last_act=self.last_act,
|
||||
task_dir=self.task_dir,
|
||||
grid_on=self.grid_on,
|
||||
env=self.rc.env)
|
||||
resp = await todo.run(
|
||||
round_count=self.round_count,
|
||||
task_desc=self.task_desc,
|
||||
last_act=self.last_act,
|
||||
task_dir=self.task_dir,
|
||||
docs_dir=self.docs_dir,
|
||||
grid_on=self.grid_on,
|
||||
env=self.rc.env
|
||||
)
|
||||
if resp.action_state == RunState.SUCCESS:
|
||||
self.grid_on = resp.data.get("grid_on")
|
||||
send_to = self.name
|
||||
|
|
|
|||
|
|
@ -50,12 +50,13 @@ def startup(
|
|||
)
|
||||
|
||||
team = Team(env=AndroidEnv())
|
||||
team.hire([AndroidAssistant])
|
||||
team.hire([AndroidAssistant()])
|
||||
team.invest(investment)
|
||||
company.run_project(idea=task_desc)
|
||||
team.run_project(idea=task_desc)
|
||||
|
||||
asyncio.run(team.run(n_round=n_round))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app()
|
||||
# Command python run_assistant.py "Create a contact in Contacts App named zjy with a phone number +86 18831933368"
|
||||
|
|
@ -1,6 +1,6 @@
|
|||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# @Desc : test on android emulator
|
||||
# @Desc : test on android emulator action. After Modify Role Test, this script is discarded.
|
||||
import asyncio
|
||||
import time
|
||||
from pathlib import Path
|
||||
|
|
@ -50,14 +50,14 @@ if __name__ == "__main__":
|
|||
env=test_env_self_learn_android
|
||||
),
|
||||
test_manual_record.run(
|
||||
demo_name=DEMO_NAME,
|
||||
# demo_name=DEMO_NAME,
|
||||
task_dir=TASK_PATH / "demos" / f"manual_record_{DEMO_NAME}",
|
||||
task_desc="Create a contact in Contacts App named zjy with a phone number +86 18831933368 ",
|
||||
env=test_env_manual_learn_android
|
||||
),
|
||||
test_manual_parse.run(
|
||||
app_name="Contacts",
|
||||
demo_name=DEMO_NAME,
|
||||
# demo_name=DEMO_NAME,
|
||||
task_dir=TASK_PATH / "demos" / f"manual_record_{DEMO_NAME}", # 修要修改
|
||||
docs_dir=PARSE_RECORD_DOC_PATH, # 需要修改
|
||||
env=test_env_manual_learn_android
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue