| import os |
|
|
| import numpy as np |
|
|
|
|
| def get_info(dir, log_filepath): |
| print("dir:", dir) |
|
|
| version_updates = -1 |
| num_code_files = -1 |
| num_png_files = -1 |
| num_doc_files = -1 |
| code_lines = -1 |
| env_lines = -1 |
| manual_lines = -1 |
| duration = -1 |
| num_utterance = -1 |
| num_reflection = -1 |
| num_prompt_tokens = -1 |
| num_completion_tokens = -1 |
| num_total_tokens = -1 |
|
|
| if os.path.exists(dir): |
| filenames = os.listdir(dir) |
| |
|
|
| num_code_files = len([filename for filename in filenames if filename.endswith(".py")]) |
| |
|
|
| num_png_files = len([filename for filename in filenames if filename.endswith(".png")]) |
| |
|
|
| num_doc_files = 0 |
| for filename in filenames: |
| if filename.endswith(".py") or filename.endswith(".png"): |
| continue |
| if os.path.isfile(os.path.join(dir, filename)): |
| |
| num_doc_files += 1 |
| |
|
|
| if "meta.txt" in filenames: |
| lines = open(os.path.join(dir, "meta.txt"), "r", encoding="utf8").read().split("\n") |
| version_updates = float([lines[i + 1] for i, line in enumerate(lines) if "Code_Version" in line][0]) + 1 |
| else: |
| version_updates = -1 |
| |
|
|
| if "requirements.txt" in filenames: |
| lines = open(os.path.join(dir, "requirements.txt"), "r", encoding="utf8").read().split("\n") |
| env_lines = len([line for line in lines if len(line.strip()) > 0]) |
| else: |
| env_lines = -1 |
| |
|
|
| if "manual.md" in filenames: |
| lines = open(os.path.join(dir, "manual.md"), "r", encoding="utf8").read().split("\n") |
| manual_lines = len([line for line in lines if len(line.strip()) > 0]) |
| else: |
| manual_lines = -1 |
| |
|
|
| code_lines = 0 |
| for filename in filenames: |
| if filename.endswith(".py"): |
| |
| lines = open(os.path.join(dir, filename), "r", encoding="utf8").read().split("\n") |
| code_lines += len([line for line in lines if len(line.strip()) > 0]) |
| |
|
|
| lines = open(log_filepath, "a+", encoding="utf8").read().split("\n") |
| start_lines = [line for line in lines if "**[Start Chat]**" in line] |
| chat_lines = [line for line in lines if "<->" in line] |
| num_utterance = len(start_lines) + len(chat_lines) |
| |
|
|
| lines = open(log_filepath, "r", encoding="utf8").read().split("\n") |
| sublines = [line for line in lines if line.startswith("prompt_tokens:")] |
| if len(sublines) > 0: |
| nums = [int(line.split(": ")[-1]) for line in sublines] |
| num_prompt_tokens = np.sum(nums) |
| |
|
|
| lines = open(log_filepath, "r", encoding="utf8").read().split("\n") |
| sublines = [line for line in lines if line.startswith("completion_tokens:")] |
| if len(sublines) > 0: |
| nums = [int(line.split(": ")[-1]) for line in sublines] |
| num_completion_tokens = np.sum(nums) |
| |
|
|
| lines = open(log_filepath, "r", encoding="utf8").read().split("\n") |
| sublines = [line for line in lines if line.startswith("total_tokens:")] |
| if len(sublines) > 0: |
| nums = [int(line.split(": ")[-1]) for line in sublines] |
| num_total_tokens = np.sum(nums) |
| |
|
|
| lines = open(log_filepath, "r", encoding="utf8").read().split("\n") |
|
|
| lines = open(log_filepath, "r", encoding="utf8").read().split("\n") |
| num_reflection = 0 |
| for line in lines: |
| if "on : Reflection" in line: |
| num_reflection += 1 |
| |
|
|
| cost = 0.0 |
| if num_png_files != -1: |
| cost += num_png_files * 0.016 |
| if num_prompt_tokens != -1: |
| cost += num_prompt_tokens * 0.003 / 1000.0 |
| if num_completion_tokens != -1: |
| cost += num_completion_tokens * 0.004 / 1000.0 |
|
|
| |
|
|
| info = "\n\n💰**cost**=${:.6f}\n\n🔨**version_updates**={}\n\n📃**num_code_files**={}\n\n🏞**num_png_files**={}\n\n📚**num_doc_files**={}\n\n📃**code_lines**={}\n\n📋**env_lines**={}\n\n📒**manual_lines**={}\n\n🗣**num_utterances**={}\n\n🤔**num_self_reflections**={}\n\n❓**num_prompt_tokens**={}\n\n❗**num_completion_tokens**={}\n\n🌟**num_total_tokens**={}" \ |
| .format(cost, |
| version_updates, |
| num_code_files, |
| num_png_files, |
| num_doc_files, |
| code_lines, |
| env_lines, |
| manual_lines, |
| num_utterance, |
| num_reflection, |
| num_prompt_tokens, |
| num_completion_tokens, |
| num_total_tokens) |
|
|
| return info |
|
|