mirror of
https://github.com/Aider-AI/aider.git
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170 lines
4.4 KiB
Python
170 lines
4.4 KiB
Python
import os
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import json
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import sys
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import subprocess
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import tiktoken
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from aider import prompts
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# Global cache for tags
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TAGS_CACHE = {}
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# from aider.dump import dump
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def to_tree(tags):
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tags = sorted(tags)
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output = ""
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last = [None] * len(tags[0])
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tab = "\t"
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for tag in tags:
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tag = list(tag)
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for i in range(len(last)):
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if last[i] != tag[i]:
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break
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num_common = i
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indent = tab * num_common
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rest = tag[num_common:]
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for item in rest:
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output += indent + item + "\n"
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indent += tab
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last = tag
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return output
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def fname_to_components(fname, with_colon):
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path_components = fname.split(os.sep)
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res = [pc + os.sep for pc in path_components[:-1]]
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if with_colon:
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res.append(path_components[-1] + ":")
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else:
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res.append(path_components[-1])
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return res
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class RepoMap:
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def __init__(self, use_ctags=True, root=None, main_model="gpt-4"):
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if not root:
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root = os.getcwd()
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self.use_ctags = use_ctags
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self.tokenizer = tiktoken.encoding_for_model(main_model)
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self.root = root
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def get_repo_map(self, chat_files, other_files):
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res = self.choose_files_listing(other_files)
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if not res:
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return
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files_listing, ctags_msg = res
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if chat_files:
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other = "other "
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else:
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other = ""
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repo_content = prompts.repo_content_prefix.format(
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other=other,
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ctags_msg=ctags_msg,
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)
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repo_content += files_listing
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return repo_content
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def choose_files_listing(self, other_files):
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# 1/4 of gpt-4's context window
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max_map_tokens = 2048
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if not other_files:
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return
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if self.use_ctags:
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files_listing = self.get_tags_map(other_files)
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if self.token_count(files_listing) < max_map_tokens:
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ctags_msg = " with selected ctags info"
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return files_listing, ctags_msg
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files_listing = self.get_simple_files_map(other_files)
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ctags_msg = ""
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if self.token_count(files_listing) < max_map_tokens:
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return files_listing, ctags_msg
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def get_simple_files_map(self, other_files):
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fnames = []
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for fname in other_files:
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fname = self.get_rel_fname(fname)
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fname = fname_to_components(fname, False)
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fnames.append(fname)
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return to_tree(fnames)
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def token_count(self, string):
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return len(self.tokenizer.encode(string))
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def get_rel_fname(self, fname):
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return os.path.relpath(fname, self.root)
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def get_tags_map(self, filenames):
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tags = []
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for filename in filenames:
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if filename.endswith(".md") or filename.endswith(".json"):
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tags.append(self.split_path(filename))
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continue
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tags += self.get_tags(filename)
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if not tags:
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return
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return to_tree(tags)
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def split_path(self, path):
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path = os.path.relpath(path, self.root)
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return [path]
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return fname_to_components(path, True)
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def get_tags(self, filename):
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# Check if the file is in the cache and if the modification time has not changed
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file_mtime = os.path.getmtime(filename)
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cache_key = filename
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if cache_key in TAGS_CACHE and TAGS_CACHE[cache_key]["mtime"] == file_mtime:
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return TAGS_CACHE[cache_key]["tags"]
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cmd = ["ctags", "--fields=+S", "--extras=-F", "--output-format=json", filename]
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output = subprocess.check_output(cmd).decode("utf-8")
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output = output.splitlines()
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tags = []
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if not output:
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tags.append(self.split_path(filename))
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for line in output:
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tag = json.loads(line)
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path = tag.get("path")
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scope = tag.get("scope")
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kind = tag.get("kind")
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name = tag.get("name")
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signature = tag.get("signature")
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last = name
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if signature:
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last += " " + signature
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res = self.split_path(path)
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if scope:
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res.append(scope)
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res += [kind, last]
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tags.append(res)
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# Update the cache
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TAGS_CACHE[cache_key] = {"mtime": file_mtime, "tags": tags}
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return tags
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if __name__ == "__main__":
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rm = RepoMap()
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res = rm.get_tags_map(sys.argv[1:])
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print(res)
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