|
| 1 | +import abc |
| 2 | +from itertools import islice |
| 3 | +from pathlib import Path |
| 4 | +from typing import Any, Generator, Iterable, List, Tuple |
| 5 | + |
| 6 | +from aws_doc_sdk_examples_tools.doc_gen import DocGen, Example |
| 7 | +from aws_doc_sdk_examples_tools.fs import PathFs |
| 8 | +from aws_doc_sdk_examples_tools.lliam.domain.model import Prompt |
| 9 | +from aws_doc_sdk_examples_tools.lliam.shared_constants import BATCH_PREFIX |
| 10 | + |
| 11 | +DEFAULT_METADATA_PREFIX = "DEFAULT" |
| 12 | +DEFAULT_BATCH_SIZE = 150 |
| 13 | +IAM_POLICY_LANGUAGE = "IAMPolicyGrammar" |
| 14 | + |
| 15 | + |
| 16 | +def batched(iterable: Iterable, n: int) -> Generator[Tuple, Any, None]: |
| 17 | + "Batch data into tuples of length n. The last batch may be shorter." |
| 18 | + # batched('ABCDEFG', 3) --> ABC DEF G |
| 19 | + if n < 1: |
| 20 | + raise ValueError("n must be at least one") |
| 21 | + it = iter(iterable) |
| 22 | + while batch := tuple(islice(it, n)): |
| 23 | + yield batch |
| 24 | + |
| 25 | + |
| 26 | +class AbstractPromptRepository(abc.ABC): |
| 27 | + def __init__(self): |
| 28 | + self.to_write = {} |
| 29 | + |
| 30 | + def add(self, prompt: Prompt): |
| 31 | + self._add(prompt) |
| 32 | + |
| 33 | + def all_all(self, prompts: List[Prompt]): |
| 34 | + for prompt in prompts: |
| 35 | + self._add(prompt) |
| 36 | + |
| 37 | + def batch(self, prompts: List[Prompt]): |
| 38 | + self._batch(prompts) |
| 39 | + |
| 40 | + def commit(self): |
| 41 | + self._commit() |
| 42 | + |
| 43 | + def get(self, id: str) -> Prompt: |
| 44 | + prompt = self._get(id) |
| 45 | + return prompt |
| 46 | + |
| 47 | + def get_all(self, ids: List[str]) -> List[Prompt]: |
| 48 | + prompts = [] |
| 49 | + for id in ids: |
| 50 | + prompt = self._get(id) |
| 51 | + prompts.append(prompt) |
| 52 | + return prompts |
| 53 | + |
| 54 | + def set_partition(self, name: str): |
| 55 | + self.partition_name = name |
| 56 | + |
| 57 | + @property |
| 58 | + def partition(self): |
| 59 | + return self.partition_name or "" |
| 60 | + |
| 61 | + @abc.abstractmethod |
| 62 | + def _add(self, product: Prompt): |
| 63 | + raise NotImplementedError |
| 64 | + |
| 65 | + @abc.abstractmethod |
| 66 | + def _batch(self, prompts: List[Prompt]): |
| 67 | + raise NotImplementedError |
| 68 | + |
| 69 | + @abc.abstractmethod |
| 70 | + def _commit(self): |
| 71 | + raise NotImplementedError |
| 72 | + |
| 73 | + @abc.abstractmethod |
| 74 | + def _get(self, id: str) -> Prompt: |
| 75 | + raise NotImplementedError |
| 76 | + |
| 77 | + |
| 78 | +class FsPromptRepository(AbstractPromptRepository): |
| 79 | + def __init__(self): |
| 80 | + super().__init__() |
| 81 | + self.fs = PathFs() |
| 82 | + |
| 83 | + def rollback(self): |
| 84 | + # TODO: This is not what rollback is for. We should be rolling back any |
| 85 | + # file changes |
| 86 | + self.to_write = {} |
| 87 | + |
| 88 | + def _add(self, prompt: Prompt): |
| 89 | + self.to_write[prompt.id] = prompt.content |
| 90 | + |
| 91 | + def _batch(self, prompts: List[Prompt]): |
| 92 | + for batch_num, batch in enumerate(batched(prompts, DEFAULT_BATCH_SIZE)): |
| 93 | + batch_name = f"{BATCH_PREFIX}{(batch_num + 1):03}" |
| 94 | + for prompt in batch: |
| 95 | + prompt.id = f"{batch_name}/{prompt.id}" |
| 96 | + self._add(prompt) |
| 97 | + |
| 98 | + def _commit(self): |
| 99 | + base_path = ( |
| 100 | + Path(self.partition) if self.partition else Path(".") |
| 101 | + ) |
| 102 | + |
| 103 | + for file_path, content in self.to_write.items(): |
| 104 | + if content: |
| 105 | + full_path = base_path / file_path |
| 106 | + self.fs.mkdir(full_path.parent) |
| 107 | + self.fs.write(full_path, content) |
| 108 | + |
| 109 | + def _get(self, id: str): |
| 110 | + return Prompt(id, self.fs.read(Path(id))) |
| 111 | + |
| 112 | + |
| 113 | +class AbstractDocGenRepository(abc.ABC): |
| 114 | + def get_new_prompts(self, doc_gen_root: str) -> List[Prompt]: |
| 115 | + return self._get_new_prompts(doc_gen_root) |
| 116 | + |
| 117 | + @abc.abstractmethod |
| 118 | + def _get_new_prompts(self, doc_gen_root: str) -> List[Prompt]: |
| 119 | + raise NotImplementedError |
| 120 | + |
| 121 | + |
| 122 | +class FsDocGenRepository(AbstractDocGenRepository): |
| 123 | + def rollback(self): |
| 124 | + # TODO: This is not what rollback is for. We should be rolling back any |
| 125 | + # file changes |
| 126 | + self._doc_gen = None |
| 127 | + |
| 128 | + def _get_new_prompts(self, doc_gen_root: str) -> List[Prompt]: |
| 129 | + self._doc_gen = DocGen.from_root(Path(doc_gen_root)) |
| 130 | + self._doc_gen.collect_snippets() |
| 131 | + new_examples = self._get_new_examples() |
| 132 | + prompts = self._examples_to_prompts(new_examples) |
| 133 | + return prompts |
| 134 | + |
| 135 | + def _get_new_examples(self) -> List[Tuple[str, Example]]: |
| 136 | + examples = self._doc_gen.examples |
| 137 | + |
| 138 | + filtered_examples: List[Tuple[str, Example]] = [] |
| 139 | + for example_id, example in examples.items(): |
| 140 | + # TCXContentAnalyzer prefixes new metadata title/title_abbrev entries with |
| 141 | + # the DEFAULT_METADATA_PREFIX. Checking this here to make sure we're only |
| 142 | + # running the LLM tool on new extractions. |
| 143 | + title = example.title or "" |
| 144 | + title_abbrev = example.title_abbrev or "" |
| 145 | + if title.startswith(DEFAULT_METADATA_PREFIX) and title_abbrev.startswith( |
| 146 | + DEFAULT_METADATA_PREFIX |
| 147 | + ): |
| 148 | + filtered_examples.append((example_id, example)) |
| 149 | + return filtered_examples |
| 150 | + |
| 151 | + def _examples_to_prompts(self, examples: List[Tuple[str, Example]]) -> List[Prompt]: |
| 152 | + snippets = self._doc_gen.snippets |
| 153 | + prompts = [] |
| 154 | + for example_id, example in examples: |
| 155 | + key = ( |
| 156 | + example.languages[IAM_POLICY_LANGUAGE] |
| 157 | + .versions[0] |
| 158 | + .excerpts[0] |
| 159 | + .snippet_files[0] |
| 160 | + .replace("/", ".") |
| 161 | + ) |
| 162 | + snippet = snippets.get(key) |
| 163 | + prompts.append(Prompt(f"{example_id}.md", snippet.code)) |
| 164 | + return prompts |
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