(data_dir, temperature, top_p, api_addr, api_key, api_port, multiworker, llm, use_demos, reformat, reformat_by, tag, dependency_type, log_first_detail)
| 35 | @click.option("--dependency_type", type=str, default="resource") |
| 36 | @click.option("--log_first_detail", type=bool, default=False) |
| 37 | def main(data_dir, temperature, top_p, api_addr, api_key, api_port, multiworker, llm, use_demos, reformat, reformat_by, tag, dependency_type, log_first_detail): |
| 38 | assert dependency_type in ["resource", "temporal"], "Dependency type not supported" |
| 39 | if dependency_type == "resource": |
| 40 | assert data_dir != "data_dailylifeapis", "Resource dependency type only support data_huggingface and data_multimedia" |
| 41 | |
| 42 | arguments = locals() |
| 43 | url = f"http://{api_addr}:{api_port}/v1/chat/completions" |
| 44 | header = { |
| 45 | "Authorization": f"Bearer {api_key}", |
| 46 | "Content-Type": "application/json" |
| 47 | } |
| 48 | |
| 49 | prediction_dir = f"{data_dir}/predictions{f'_use_demos_{use_demos}' if use_demos and tag else ''}{f'_reformat_by_{ reformat_by}' if reformat and tag else ''}" |
| 50 | wf_name = f"{prediction_dir}/{llm}.json" |
| 51 | |
| 52 | if not os.path.exists(prediction_dir): |
| 53 | os.makedirs(prediction_dir, exist_ok=True) |
| 54 | |
| 55 | has_inferenced = [] |
| 56 | if os.path.exists(wf_name): |
| 57 | rf = open(wf_name, "r") |
| 58 | for line in rf: |
| 59 | data = json.loads(line) |
| 60 | has_inferenced.append(data["id"]) |
| 61 | rf.close() |
| 62 | |
| 63 | rf_ur = open(f"{data_dir}/user_requests.json", "r") |
| 64 | inputs = [] |
| 65 | for line in rf_ur: |
| 66 | input = json.loads(line) |
| 67 | if input["id"] not in has_inferenced: |
| 68 | inputs.append(input) |
| 69 | rf_ur.close() |
| 70 | |
| 71 | wf = open(wf_name, "a") |
| 72 | |
| 73 | tool_list = json.load(open(f"{data_dir}/tool_desc.json", "r"))["nodes"] |
| 74 | if "input-type" not in tool_list[0]: |
| 75 | assert dependency_type == "temporal", "Tool type is not ignored, but the tool list does not contain input-type and output-type" |
| 76 | if dependency_type == "temporal": |
| 77 | for tool in tool_list: |
| 78 | parameter_list = [] |
| 79 | for parameter in tool["parameters"]: |
| 80 | parameter_list.append(parameter["name"]) |
| 81 | tool["parameters"] = parameter_list |
| 82 | |
| 83 | # log llm name in format |
| 84 | formatter = logging.Formatter(f"%(asctime)s - [ {llm} ] - %(levelname)s - %(message)s") |
| 85 | console_handler = logging.StreamHandler() |
| 86 | console_handler.setFormatter(formatter) |
| 87 | console_handler.setLevel(logging.INFO) |
| 88 | logger.addHandler(console_handler) |
| 89 | |
| 90 | file_handler = logging.FileHandler(f"{prediction_dir}/{llm}.log") |
| 91 | file_handler.setFormatter(formatter) |
| 92 | file_handler.setLevel(logging.INFO) |
| 93 | logger.addHandler(file_handler) |
| 94 |
no test coverage detected