fix: import error resolved

Author: kamini08

.github/workflows/ci.yml

@@ -15,7 +15,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.9"
+          python-version: "3.11"
 
       - name: Install dependencies
         run: |

check-ci-locally.sh

@@ -1,5 +1,12 @@
 [mypy]
 ignore_missing_imports = True
+exclude = generated/
 
 [mypy-edgeflow.parser.grammar.*]
+ignore_errors = True
+
+[mypy-inference]
+ignore_errors = True
+
+[mypy-generated.*]
 ignore_errors = True

mypy.ini

@@ -1,4 +1,4 @@
-FROM python:3.9-slim
+FROM python:3.11-slim
 
 WORKDIR /app
 

src/edgeflow/backend/Dockerfile

@@ -1,12 +1,12 @@
 from __future__ import annotations
 
-from parser import EdgeFlowParserError, parse_edgeflow_string, validate_config
+from edgeflow.parser import EdgeFlowParserError, parse_edgeflow_string, validate_config
 from typing import Any, Dict, Tuple
 
-from edgeflow_ast import create_program_from_dict
-from edgeflow_ir import create_ir_from_config
-from error_reporter import EdgeFlowErrorReporter
-from static_validator import validate_edgeflow_config_static
+from edgeflow.ir.edgeflow_ast import create_program_from_dict
+from edgeflow.ir.edgeflow_ir import create_ir_from_config
+from edgeflow.reporting.error_reporter import EdgeFlowErrorReporter
+from edgeflow.analysis.static_validator import validate_edgeflow_config_static
 
 
 class ParserService:

src/edgeflow/backend/api/services/parser_service.py

@@ -11,24 +11,29 @@
 import json
 import logging
 from datetime import datetime, timezone
-from parser import parse_ef  # type: ignore
+from edgeflow.parser import parse_ef  # type: ignore
 from pathlib import Path
 from typing import Any, Dict, List, Optional
 
 # Import core CLI logic
-import edgeflowc  # type: ignore
-from backend.api.services.parser_service import ParserService
-from code_generator import CodeGenerator
+import edgeflow.compiler.edgeflowc as edgeflowc  # type: ignore
+from edgeflow.backend.api.services.parser_service import ParserService
+from edgeflow.compiler.code_generator import CodeGenerator
 
 # Import EdgeFlow pipeline components
-from edgeflow_ast import create_program_from_dict
-from edgeflow_ir import FusionPass, IRBuilder, QuantizationPass, SchedulingPass
-from explainability_reporter import generate_explainability_report
-from fast_compile import fast_compile_config
+from edgeflow.ir.edgeflow_ast import create_program_from_dict
+from edgeflow.ir.edgeflow_ir import (
+    FusionPass,
+    IRBuilder,
+    QuantizationPass,
+    SchedulingPass,
+)
+from edgeflow.reporting.explainability_reporter import generate_explainability_report
+from edgeflow.optimization.fast_compile import fast_compile_config
 from fastapi import Depends, FastAPI, File, Form, HTTPException, Request, UploadFile
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
-from initial_check import InitialChecker, perform_initial_check
+from edgeflow.analysis.initial_check import InitialChecker, perform_initial_check
 from pydantic import BaseModel, Field, constr
 from edgeflow.reporting.reporter import generate_json_report  # type: ignore
 
@@ -551,7 +556,11 @@ def fast_compile(
 
         return FastCompileResponse(
             success=True,
-            estimated_impact=result.estimated_impact,
+            estimated_impact=(
+                result.performance_metrics.to_dict()
+                if result.performance_metrics
+                else None
+            ),
             validation_results={"errors": result.errors, "warnings": result.warnings},
             message="Fast compile completed successfully",
             warnings=result.warnings,

src/edgeflow/backend/app.py

@@ -270,7 +270,7 @@ def _generate_python_code(self) -> str:
                 "import numpy as np",
                 "import cv2",
                 "import time",
-                "from typing import Optional, Union, List, Tuple",
+                "from typing import Optional, Union, List, Tuple, Dict, Any",
             ]
         )
 
@@ -388,12 +388,10 @@ def _generate_python_model_loading(self, quant_type: str) -> str:
         )
         code += "            \n"
         code += '            print(f"Model loaded: {self.model_path}")\n'
-        code += (
-            "            print(f\"Input shape: {self.input_details[0]['shape']}\")\n"
-        )
-        code += (
-            "            print(f\"Output shape: {self.output_details[0]['shape']}\")\n"
-        )
+        code += "            if self.input_details:\n"
+        code += "                print(f\"Input shape: {self.input_details[0]['shape']}\")\n"
+        code += "            if self.output_details:\n"
+        code += "                print(f\"Output shape: {self.output_details[0]['shape']}\")\n"
 
         if quant_type != "none":
             code += f'            print(f"Quantization: {quant_type.upper()}")\n'

src/edgeflow/compiler/code_generator.py

@@ -25,7 +25,7 @@
     from edgeflow.parser import parse_edgeflow_file as _parse_edgeflow_file
 except ImportError:
     try:
-        from parser import parse_edgeflow_file as _parse_edgeflow_file  # type: ignore
+        from edgeflow.parser import parse_edgeflow_file as _parse_edgeflow_file  # type: ignore
     except ImportError:
         _parse_edgeflow_file = None  # type: ignore[assignment]
 

src/edgeflow/compiler/edgeflowc.py

@@ -80,7 +80,7 @@ def deploy_to_raspberry_pi(pi_ip, model_path, pi_user="pi"):
 import sys
 sys.path.append('/home/{pi_user}/edgeflow')
 
-from inference import EdgeFlowInference
+from inference import EdgeFlowInference  # type: ignore
 import numpy as np
 
 def test_model():

src/edgeflow/deployment/deploy_to_pi.py

@@ -284,7 +284,7 @@ def _create_deployment_package(
 
 def deploy_from_dsl(dsl_file: str) -> Dict[DeploymentTarget, DeploymentResult]:
     """Deploy model to all targets specified in DSL file."""
-    from parser import parse_ef
+    from edgeflow.parser import parse_ef
 
     config = parse_ef(dsl_file)
     model_path = config.get("model", "model.tflite")