CC Augmented optimizations

codeflash/api/aiservice.py

@@ -193,6 +193,75 @@ def optimize_python_code(  # noqa: D417
         console.rule()
         return []
 
+    def augmented_optimize(  # noqa: D417
+        self,
+        source_code: str,
+        system_prompt: str,
+        user_prompt: str,
+        trace_id: str,
+        dependency_code: str | None = None,
+        n_candidates: int = 3,
+    ) -> list[OptimizedCandidate]:
+        """Optimize code with custom prompts via /ai/augmented-optimize endpoint.
+
+        Parameters
+        ----------
+        - source_code (str): The python code to optimize (markdown format).
+        - system_prompt (str): Custom system prompt for the LLM.
+        - user_prompt (str): Custom user prompt for the LLM.
+        - trace_id (str): Trace id of optimization run.
+        - dependency_code (str | None): Optional dependency code context.
+        - n_candidates (int): Number of candidates to generate (max 3).
+
+        Returns
+        -------
+        - list[OptimizedCandidate]: A list of Optimization Candidates.
+
+        """
+        logger.info("Generating augmented optimization candidates…")
+        console.rule()
+        start_time = time.perf_counter()
+        git_repo_owner, git_repo_name = safe_get_repo_owner_and_name()
+
+        payload = {
+            "source_code": source_code,
+            "dependency_code": dependency_code,
+            "trace_id": trace_id,
+            "system_prompt": system_prompt,
+            "user_prompt": user_prompt,
+            "n_candidates": min(n_candidates, 3),
+            "python_version": platform.python_version(),
+            "codeflash_version": codeflash_version,
+            "current_username": get_last_commit_author_if_pr_exists(None),
+            "repo_owner": git_repo_owner,
+            "repo_name": git_repo_name,
+        }
+        logger.debug(f"Sending augmented optimize request: trace_id={trace_id}, n_candidates={payload['n_candidates']}")
+
+        try:
+            response = self.make_ai_service_request("/augmented-optimize", payload=payload, timeout=self.timeout)
+        except requests.exceptions.RequestException as e:
+            logger.exception(f"Error generating augmented optimization candidates: {e}")
+            ph("cli-augmented-optimize-error-caught", {"error": str(e)})
+            console.rule()
+            return []
+
+        if response.status_code == 200:
+            optimizations_json = response.json()["optimizations"]
+            end_time = time.perf_counter()
+            logger.debug(f"!lsp|Generating augmented optimizations took {end_time - start_time:.2f} seconds.")
+            logger.info(f"!lsp|Received {len(optimizations_json)} augmented optimization candidates.")
+            console.rule()
+            return self._get_valid_candidates(optimizations_json, OptimizedCandidateSource.AUGMENTED)
+        try:
+            error = response.json()["error"]
+        except Exception:
+            error = response.text
+        logger.error(f"Error generating augmented optimization candidates: {response.status_code} - {error}")
+        ph("cli-augmented-optimize-error-response", {"response_status_code": response.status_code, "error": error})
+        console.rule()
+        return []
+
     def get_jit_rewritten_code(  # noqa: D417
         self, source_code: str, trace_id: str
     ) -> list[OptimizedCandidate]:

codeflash/cli_cmds/cli.py

@@ -6,6 +6,7 @@
 
 from codeflash.cli_cmds import logging_config
 from codeflash.cli_cmds.cli_common import apologize_and_exit
+from codeflash.cli_cmds.cmd_create_pr import create_pr as cmd_create_pr
 from codeflash.cli_cmds.cmd_init import init_codeflash, install_github_actions
 from codeflash.cli_cmds.console import logger
 from codeflash.cli_cmds.extension import install_vscode_extension
@@ -57,6 +58,22 @@ def parse_args() -> Namespace:
         help="The path to the pyproject.toml file which stores the Codeflash config. This is auto-discovered by default.",
     )
 
+    # create-pr subcommand for creating PRs from augmented optimization results
+    create_pr_parser = subparsers.add_parser("create-pr", help="Create a PR from previously applied optimizations")
+    create_pr_parser.set_defaults(func=cmd_create_pr)
+    create_pr_parser.add_argument(
+        "--results-file",
+        type=str,
+        default="codeflash_phase1_results.json",
+        help="Path to augmented output JSON file (default: codeflash_phase1_results.json)",
+    )
+    create_pr_parser.add_argument(
+        "--function", type=str, help="Function name (required if multiple functions in results)"
+    )
+    create_pr_parser.add_argument(
+        "--git-remote", type=str, default="origin", help="Git remote to use for PR creation (default: origin)"
+    )
+
     parser.add_argument("--file", help="Try to optimize only this file")
     parser.add_argument("--function", help="Try to optimize only this function within the given file path")
     parser.add_argument(
@@ -117,6 +134,22 @@ def parse_args() -> Namespace:
     parser.add_argument(
         "--effort", type=str, help="Effort level for optimization", choices=["low", "medium", "high"], default="medium"
     )
+    parser.add_argument(
+        "--augmented",
+        action="store_true",
+        help="Enable augmented optimization mode for two-phase optimization workflow",
+    )
+    parser.add_argument(
+        "--augmented-prompt-file",
+        type=str,
+        help="Path to YAML file with custom system_prompt and user_prompt for Phase 2",
+    )
+    parser.add_argument(
+        "--augmented-output",
+        type=str,
+        default="codeflash_phase1_results.json",
+        help="Path to write Phase 1 results JSON (default: codeflash_phase1_results.json)",
+    )
 
     args, unknown_args = parser.parse_known_args()
     sys.argv[:] = [sys.argv[0], *unknown_args]
@@ -175,6 +208,15 @@ def process_and_validate_cmd_args(args: Namespace) -> Namespace:
             "Async function optimization is now enabled by default."
         )
 
+    if args.augmented_prompt_file and not args.augmented:
+        exit_with_message("--augmented-prompt-file requires --augmented flag", error_on_exit=True)
+
+    if args.augmented_prompt_file:
+        prompt_file = Path(args.augmented_prompt_file)
+        if not prompt_file.exists():
+            exit_with_message(f"Augmented prompt file {args.augmented_prompt_file} does not exist", error_on_exit=True)
+        args.augmented_prompt_file = prompt_file.resolve()
+
     return args
 
 

codeflash/cli_cmds/cmd_create_pr.py

@@ -0,0 +1,147 @@
+from __future__ import annotations
+
+import json
+import re
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+from codeflash.cli_cmds.console import logger
+from codeflash.code_utils.code_utils import exit_with_message
+from codeflash.code_utils.git_utils import git_root_dir
+from codeflash.models.models import Phase1Output, TestResults
+from codeflash.result.create_pr import check_create_pr
+from codeflash.result.explanation import Explanation
+
+if TYPE_CHECKING:
+    from argparse import Namespace
+
+# Pattern to extract file path from markdown code block: ```python:path/to/file.py
+MARKDOWN_FILE_PATH_PATTERN = re.compile(r"```python:([^\n]+)")
+
+
+def extract_file_path_from_markdown(markdown_code: str) -> str | None:
+    """Extract the file path from markdown code block format.
+
+    Format: ```python:path/to/file.py
+    """
+    match = MARKDOWN_FILE_PATH_PATTERN.search(markdown_code)
+    if match:
+        return match.group(1).strip()
+    return None
+
+
+def extract_code_from_markdown(markdown_code: str) -> str:
+    r"""Extract the code content from markdown code block.
+
+    Removes the ```python:path\n ... ``` wrapper.
+    """
+    # Remove opening markdown fence with optional path
+    code = re.sub(r"^```python(?::[^\n]*)?\n", "", markdown_code)
+    # Remove closing fence
+    return re.sub(r"\n```$", "", code)
+
+
+def create_pr(args: Namespace) -> None:
+    """Create a PR from previously applied optimizations."""
+    results_file = Path(args.results_file)
+
+    if not results_file.exists():
+        exit_with_message(f"Results file not found: {results_file}", error_on_exit=True)
+
+    # Load and parse results
+    with results_file.open(encoding="utf-8") as f:
+        data = json.load(f)
+
+    try:
+        output = Phase1Output.model_validate(data)
+    except Exception as e:
+        exit_with_message(f"Failed to parse results file: {e}", error_on_exit=True)
+
+    # Find the function result
+    if len(output.functions) == 0:
+        exit_with_message("No functions in results file", error_on_exit=True)
+
+    if len(output.functions) > 1 and not args.function:
+        func_names = [f.function_name for f in output.functions]
+        exit_with_message(
+            f"Multiple functions in results. Specify one with --function: {func_names}", error_on_exit=True
+        )
+
+    func_result = output.functions[0]
+    if args.function:
+        func_result = next((f for f in output.functions if f.function_name == args.function), None)
+        if not func_result:
+            exit_with_message(f"Function {args.function} not found in results", error_on_exit=True)
+        assert func_result is not None  # for type checker - exit_with_message doesn't return
+
+    if not func_result.best_candidate_id:
+        exit_with_message("No successful optimization found in results", error_on_exit=True)
+
+    # Get file path - prefer explicit field, fall back to extracting from markdown
+    file_path_str = func_result.file_path
+    if not file_path_str:
+        file_path_str = extract_file_path_from_markdown(func_result.original_source_code)
+
+    if not file_path_str:
+        exit_with_message(
+            "Could not determine file path from results. Results file may be from an older version of codeflash.",
+            error_on_exit=True,
+        )
+    assert file_path_str is not None  # for type checker - exit_with_message doesn't return
+
+    file_path = Path(file_path_str)
+    if not file_path.exists():
+        exit_with_message(f"Source file not found: {file_path}", error_on_exit=True)
+
+    # Read current (optimized) file content
+    current_content = file_path.read_text(encoding="utf-8")
+
+    # Extract original code (strip markdown)
+    original_code = extract_code_from_markdown(func_result.original_source_code)
+
+    # Get the best candidate's explanation
+    best_explanation = func_result.best_candidate_explanation
+    if not best_explanation:
+        # Fall back to the candidate's explanation if the final explanation wasn't captured
+        best_candidate = next(
+            (c for c in func_result.candidates if c.optimization_id == func_result.best_candidate_id), None
+        )
+        best_explanation = best_candidate.explanation if best_candidate else "Optimization applied"
+
+    # Build Explanation object for PR creation
+    explanation = Explanation(
+        raw_explanation_message=best_explanation,
+        winning_behavior_test_results=TestResults(),
+        winning_benchmarking_test_results=TestResults(),
+        original_runtime_ns=func_result.original_runtime_ns or 0,
+        best_runtime_ns=func_result.best_runtime_ns or func_result.original_runtime_ns or 0,
+        function_name=func_result.function_name,
+        file_path=file_path,
+    )
+
+    logger.info(f"Creating PR for optimized function: {func_result.function_name}")
+    logger.info(f"File: {file_path}")
+    if func_result.best_speedup_ratio:
+        logger.info(f"Speedup: {func_result.best_speedup_ratio * 100:.1f}%")
+
+    # Call existing PR creation
+    check_create_pr(
+        original_code={file_path: original_code},
+        new_code={file_path: current_content},
+        explanation=explanation,
+        existing_tests_source=func_result.existing_tests_source or "",
+        generated_original_test_source="",
+        function_trace_id=func_result.trace_id,
+        coverage_message="",
+        replay_tests=func_result.replay_tests_source or "",
+        concolic_tests=func_result.concolic_tests_source or "",
+        optimization_review="",
+        root_dir=git_root_dir(),
+        git_remote=getattr(args, "git_remote", None),
+        precomputed_test_report=func_result.test_report,
+        precomputed_loop_count=func_result.loop_count,
+    )
+
+    # Cleanup results file after successful PR creation
+    results_file.unlink()
+    logger.info(f"Cleaned up results file: {results_file}")