“codeExecutionResult”: f “outcome”: “OUTCOME_FAILED”, “output”: “OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k\nOpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k\nNo module named ‘pytesseract’\nTraceback (most recent call last):\n File AAAAAAAAAAAAAAAAAAAAAA\n File “”, line 2, in \nModuleNotFoundError: No module named ‘pytesseract’\n”
Hi
Working on reproducing this, could you share more details about this error (what was the prompt use, code snippet ) ?
i’ll get you more info, but its looking like one of those several hour stretches where the model and everything associated with it starts doing odd things and not working correctly… there were several requests over this period and all displayed this same behavior from the generate_content api. most of my api calls right now are going through the interactions api and it was also having a LOT of difficulty during this time.
stay tuned for promised request info
{
"model": "models/gemini-3.1-pro-preview",
"contents": [
{
"parts": [
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"text": "ROLE\n\nYou are a Custom Image-Vision Analyst for Geoquest USA's construction and civil engineering division, with a specialty in identifying opportunities for **MSE Retaining Walls**. Your task is to analyze an image from a construction project document (such as a plan sheet, detail, retaining wall cross-section, or photograph) and generate a comprehensive, structured \"Construction Scene Blueprint\" in JSON format. Your analysis must be dense with factual, searchable information to enable a sales engineer to find this image when searching for **MSE** applications.\n\nTASK\n\nYour output MUST be a single, valid JSON object that strictly adheres to the schema provided. Do not output any text or explanations outside the JSON object.\n\nINSTRUCTIONS\n\nFollow these steps meticulously:\n\n\nClassify the Image: First, determine the image's type and context. Populate the document_context and image_classification fields. For subtype, be specific (e.g., \"Retaining Wall Cross-Section,\" \"Bridge Abutment Detail,\" \"MSE Wall Profile\").\n\nDescribe the Core Process: In the process_illustrated field, describe the primary engineering process, structural relationship, or function the image illustrates (e.g., \"Shows the layering of select backfill and soil reinforcement strips behind a precast concrete facing panel.\").\n\nIdentify Components and Capture Bounding Boxes: For each key component, material, or product shown, add an object to the components_and_materials array. Pay special attention to anything labeled 'MSE', 'soil reinforcement', 'select backfill', 'leveling pad', or 'precast facing'. Extract all labeled names, material types, dimensions, and part numbers. Crucially, you MUST provide the bounding box for each identified component in the format [ymin, xmin, ymax, xmax] normalized to 0-1000.\n\nExtract All Text Data: Transcribe all visible text into extracted_data.full_ocr_text. From this text, pull out specific measurements (e.g., \"4,521 sq ft wall face\") and specification references into the appropriate arrays.\n\nAssign Keywords for Retrieval: Populate the retrieval_keywords by identifying the products mentioned, the engineering applications shown (e.g., \"Grade Separation,\" \"Temporary Shoring\", \"Bridge Abutment\"), and the problems being solved (e.g., \"Traffic Surcharge\", \"Right-of-Way Limits\").\n\nAnalyze Sales Opportunity: Based on the aformentioned information, populate the sales_context. Determine the opportunity_type, explicitly stating if it is a direct **MSE** specification or a potential displacement opportunity (e.g., replacing cast-in-place concrete). List a few questions a sales engineer could answer using this image to propose a **Geoquest MSE solution**.\n\nFormat your output as a JSON object according to the schema below:\n{\n \"$defs\": {\n \"ComponentAndMaterial\": {\n \"properties\": {\n \"component_name\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Name of the component identified in the image (e.g., 'ACB', 'headwall', 'geotextile').\",\n \"title\": \"Component Name\"\n },\n \"material_spec\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Material specification associated with the component (e.g., '4000 psi concrete', 'Class A riprap').\",\n \"title\": \"Material Spec\"\n },\n \"dimensions\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Key dimensions as written in the image (preserve formatting, e.g., '6\\\" thick', '12\\\" dia').\",\n \"title\": \"Dimensions\"\n },\n \"part_number\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Part/model number if shown in the image (e.g., manufacturer part number).\",\n \"title\": \"Part Number\"\n },\n \"bounding_box\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"integer\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Bounding box of the component in [ymin, xmin, ymax, xmax] format, normalized to 1000 (integers). Use None if not available.\",\n \"title\": \"Bounding Box\"\n }\n },\n \"title\": \"ComponentAndMaterial\",\n \"type\": \"object\"\n },\n \"DocumentContext\": {\n \"properties\": {\n \"project_name\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Project name inferred from the sheet title block or document header, if available.\",\n \"title\": \"Project Name\"\n },\n \"sheet_number\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Sheet identifier (e.g., 'C-101', 'S-2') if the image corresponds to a plan sheet.\",\n \"title\": \"Sheet Number\"\n }\n },\n \"title\": \"DocumentContext\",\n \"type\": \"object\"\n },\n \"ExtractedData\": {\n \"properties\": {\n \"full_ocr_text\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Full OCR text extracted from the image, if available. Preserve original casing where possible.\",\n \"title\": \"Full Ocr Text\"\n },\n \"specifications\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"string\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"List of specification statements extracted from the image (e.g., notes, callouts, standards).\",\n \"title\": \"Specifications\"\n },\n \"measurements\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"string\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"List of measurement strings extracted from the image (e.g., dimensions, elevations, slopes).\",\n \"title\": \"Measurements\"\n }\n },\n \"title\": \"ExtractedData\",\n \"type\": \"object\"\n },\n \"ImageClassification\": {\n \"properties\": {\n \"primary_type\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"High-level image type (e.g., 'plan_sheet', 'detail', 'spec_table', 'photo', 'diagram').\",\n \"title\": \"Primary Type\"\n },\n \"subtype\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"More specific subtype (e.g., 'grading_plan', 'typical_section', 'pipe_schedule').\",\n \"title\": \"Subtype\"\n }\n },\n \"title\": \"ImageClassification\",\n \"type\": \"object\"\n },\n \"RetrievalKeywords\": {\n \"properties\": {\n \"products\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"string\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Product or material keywords useful for retrieval (e.g., 'ACB', 'TRM', 'geogrid', brand names).\",\n \"title\": \"Products\"\n },\n \"applications\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"string\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Application keywords (e.g., 'channel lining', 'slope protection', 'scour apron').\",\n \"title\": \"Applications\"\n },\n \"problems_solved\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"string\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Problem keywords (e.g., 'erosion', 'scour', 'sediment control', 'stability').\",\n \"title\": \"Problems Solved\"\n }\n },\n \"title\": \"RetrievalKeywords\",\n \"type\": \"object\"\n },\n \"SalesContext\": {\n \"properties\": {\n \"opportunity_type\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Sales-relevant label for the opportunity (e.g., 'VE', 'alternate', 'spec-driven', 'retrofit').\",\n \"title\": \"Opportunity Type\"\n },\n \"potential_questions_answered\": {\n \"anyOf\": [\n {\n \"items\": {\n \"type\": \"string\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Questions this image may help answer (e.g., 'What lining thickness is required?').\",\n \"title\": \"Potential Questions Answered\"\n }\n },\n \"title\": \"SalesContext\",\n \"type\": \"object\"\n }\n },\n \"properties\": {\n \"document_context\": {\n \"anyOf\": [\n {\n \"$ref\": \"#/$defs/DocumentContext\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Basic document context inferred for this image (project/sheet identifiers).\"\n },\n \"image_classification\": {\n \"anyOf\": [\n {\n \"$ref\": \"#/$defs/ImageClassification\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Classification describing what kind of image this is (plan, detail, table, etc.).\"\n },\n \"process_illustrated\": {\n \"anyOf\": [\n {\n \"type\": \"string\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"If the image shows a process or workflow (installation steps, sequence, construction method), summarize it in 1\\u20133 sentences.\",\n \"title\": \"Process Illustrated\"\n },\n \"components_and_materials\": {\n \"anyOf\": [\n {\n \"items\": {\n \"$ref\": \"#/$defs/ComponentAndMaterial\"\n },\n \"type\": \"array\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"List of detected components/materials with associated specs/dimensions and bounding boxes, if available.\",\n \"title\": \"Components And Materials\"\n },\n \"extracted_data\": {\n \"anyOf\": [\n {\n \"$ref\": \"#/$defs/ExtractedData\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Raw extracted text/spec/measurement data from OCR or parsing.\"\n },\n \"retrieval_keywords\": {\n \"anyOf\": [\n {\n \"$ref\": \"#/$defs/RetrievalKeywords\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Keywords optimized for downstream retrieval/search based on the image content.\"\n },\n \"sales_context\": {\n \"anyOf\": [\n {\n \"$ref\": \"#/$defs/SalesContext\"\n },\n {\n \"type\": \"null\"\n }\n ],\n \"default\": null,\n \"description\": \"Sales-oriented interpretation of the image (opportunity type and likely questions answered).\"\n }\n },\n \"title\": \"ImageSummary\",\n \"type\": \"object\"\n}\nOmit any markdown formatting. Do not include any preamble or explanation.*** IMPORTANT ***DO NOT INCLUDE ANY CODE FENCES. YOUR OUTPUT MUST FOLLOW THE SCHEMA AND MUST BE VALID JSON."
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"language": "PYTHON",
"code": "import cv2\nimport pytesseract\nimport json\n\nimg = cv2.imread('input_file_0.png')\nh, w, _ = img.shape\ndata = pytesseract.image_to_data(img, output_type=pytesseract.Output.DICT)\n\ntext_blocks = []\ncurrent_block = {\"text\": \"\", \"x_min\": w, \"y_min\": h, \"x_max\": 0, \"y_max\": 0}\n\nfor i in range(len(data['text'])):\n if int(data['conf'][i]) > 0:\n text = data['text'][i].strip()\n if text:\n x, y, w_box, h_box = data['left'][i], data['top'][i], data['width'][i], data['height'][i]\n x_min, y_min = int(x / w * 1000), int(y / h * 1000)\n x_max, y_max = int((x + w_box) / w * 1000), int((y + h_box) / h * 1000)\n text_blocks.append({\"text\": text, \"box\": [y_min, x_min, y_max, x_max]})\n\nfull_text = pytesseract.image_to_string(img)\n\nprint(json.dumps({\"full_text\": full_text[:500], \"h\": h, \"w\": w}))\n"
},
},
{
"codeExecutionResult": {
"outcome": "OUTCOME_FAILED",
"output": "OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k\nOpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k\nNo module named 'pytesseract'\nTraceback (most recent call last):\n File \"/usr/bin/entry/named_interpreters/python/interpreter\", line 98, in _run_python\n exec(code, exec_scope) # pylint: disable=exec-used\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"<string>\", line 2, in <module>\nModuleNotFoundError: No module named 'pytesseract'\n"
}
},
{
"text": "{\n \"document_context\": {\n \"project_name\": \"Geoquest MSE WALL Spec\",\n \"sheet_number\": \"Page 3\"\n },\n \"image_classification\": {\n \"primary_type\": \"spec_sheet\",\n \"subtype\": \"materials_specification\"\n },\n \"process_illustrated\": \"Outlines the submittal and material requirements for a Mechanically Stabilized Earth (MSE) retaining wall. The text specifies compliance standards, physical properties, and dimensions for concrete facing panels, soil reinforcement strips, attachment devices, fasteners, and select granular backfill.\",\n \"components_and_materials\": [\n {\n \"component_name\": \"Concrete Facing Panels\",\n \"material_spec\": \"Cement Types I, II or III (AASHTO M-85), 4,000 psi compressive strength. Deformed rebar AASHTO M31 (ASTM A615), grade 60, uncoated.\",\n \"dimensions\": \"5 1/2 inches minimum thickness, 1 1/2 inches minimum concrete cover\",\n \"part_number\": null,\n \"bounding_box\": [225, 115, 408, 882]\n },\n {\n \"component_name\": \"High Adherence (HA) Ribbed Reinforcing Strips\",\n \"material_spec\": \"Hot rolled from bars, ASTM A-572 grade 65 (AASHTO M-223) or equivalent. Galvanizing ASTM-A123 (AASHTO M-111).\",\n \"dimensions\": \"2.0 oz/ft² minimum galvanizing coating thickness\",\n \"part_number\": null,\n \"bounding_box\": [453, 147, 536, 882]\n },\n {\n \"component_name\": \"Ladder Reinforcement\",\n \"material_spec\": \"Cold drawn steel wire ASTM A1064/A1064M-17 (AASHTO M 32M/M 32) plain wire Gr. 65. Connector plate ASTM A1011/A1011M-15 SS Type 1 Gr.50 or HSLAS Class 1 Gr. 50.\",\n \"dimensions\": \"Minimum yield 65ksi, tensile 75ksi. Weld shear 35ksi. Connector plate yield 50ksi, tension 65ksi. Galvanizing 2.0 oz/ft².\",\n \"part_number\": null,\n \"bounding_box\": [548, 147, 680, 882]\n },\n {\n \"component_name\": \"Tie Strips\",\n \"material_spec\": \"Hot rolled steel ASTM A-1011, Grade 50 or equivalent. Galvanizing ASTM A-123 (AASHTO M-111) or ASTM A-153 (AASHTO M-232).\",\n \"dimensions\": \"2.0 oz/ft² minimum galvanizing coating thickness\",\n \"part_number\": null,\n \"bounding_box\": [694, 147, 762, 882]\n },\n {\n \"component_name\": \"Fasteners\",\n \"material_spec\": \"Hexagonal cap screw bolts and nuts ASTM A-449 (AASHTO M-164). Galvanizing ASTM A-153 (AASHTO M-232).\",\n \"dimensions\": null,\n \"part_number\": null,\n \"bounding_box\": [776, 147, 829, 842]\n },\n {\n \"component_name\": \"Select Granular Backfill Material\",\n \"material_spec\": \"Substantially free from organic and otherwise soft, non-durable or deleterious materials (such as mica).\",\n \"dimensions\": null,\n \"part_number\": null,\n \"bounding_box\": [875, 115, 937, 882]\n }\n ],\n \"extracted_data\": {\n \"full_ocr_text\": \"5.0 SUBMITTALS\\nThe Contractor shall submit the design calculations and design drawings (prepared by the wall supplier) for review by the Owner (or the Owner's engineer). Approval by the Owner shall be obtained prior to beginning construction.\\n\\n6.0 MATERIALS\\nThe Contractor shall make his own arrangements to purchase the materials covered by this section, including concrete facing panels, reinforcing strips, attachment devices, fasteners, joint materials and all necessary incidentals, from the Geoquest USA, Inc..\\n\\n6.1 Concrete Facing Panels\\nConcrete facing panels shall have a minimum thickness of 5 1/2 inches and a minimum concrete cover on reinforcing steel of 1 1/2 inches Cement shall be Types I, II or III and shall conform to the requirements of AASHTO M-85. Concrete shall have a minimum compressive strength at 28 days 4,000 psi.\\n\\nReinforcing steel for concrete facing panels shall be deformed rebar conforming to AASHTO M31 (ASTM A615), grade 60, uncoated.\\n\\nIf site conditions warrant additional concrete cover, special concrete mix designs, epoxy coated rebar or other requirements, the EOR shall indicate the requirements on the plans.\\n\\n6.2 Soil Reinforcing and Attachment Devices\\n(a) High Adherence (HA) Ribbed Reinforcing Strips. Ribbed Reinforcing Strips shall be hot rolled from bars to the required shape and dimensions. Their physical and mechanical properties shall conform to ASTM A-572 grade 65 (AASHTO M-223) or equivalent. Galvanizing shall conform to the requirements of ASTM-A123 (AASHTO M-111). The minimum galvanizing coating thickness shall be 2.0 oz/ft²\\n\\n(b) Ladder Reinforcement, shall be cold drawn steel wire milled to the required shape and dimensions. The physical and mechanical properties shall conform to ASTM A1064/A1064M-17, (AASHTO M 32M/M 32) plain wire Gr. 65, Minimum yield 65ksi, tensile 75ksi, longitudinal and transverse wires shall be of equal size. Minimum shear strength of welds shall be 35ksi. Connector plate material (for HA Ladders) shall comply with ASTM A1011/A1011M-15, SS Type 1, Gr.50 or HSLAS Class 1, Gr. 50, minimum yield 50ksi, tension 65ksi. Welding shall comply with provisions listed within the latest edition of ANSI/AWS D1.1, A5.18 . The minimum galvanizing coating thickness shall be 2.0 oz/ft².\\n\\n(c) Tie Strips. Tie Strips shall be shop fabricated of hot rolled steel conforming to the minimum requirements of ASTM A-1011, Grade 50 or equivalent. Galvanizing shall conform to the minimum requirements of ASTM A-123 (AASHTO M-111) or ASTM A-153 (AASHTO M-232). The minimum galvanizing coating thickness shall be 2.0 oz/ft²\\n\\n(d) Fasteners. Fasteners for Tie Strips shall consist of hexagonal cap screw bolts and nuts conforming to the minimum requirements of ASTM A-449 (AASHTO M-164) or equivalent. Galvanizing shall conform to the minimum requirements of ASTM A-153 (AASHTO M-232).\\n\\nAll parts and reinforcements shall be in their final configuration prior to galvanizing.\\n\\n6.3 Select Granular Backfill Material\\nThe select granular backfill material used in the mechanically stabilized earth structure shall be substantially free from organic and otherwise soft, non-durable or deleterious materials (such as mica,\\n\\n07-10-2025 Geoquest MSE WALL Spec Page 3\",\n \"specifications\": [\n \"Purchase the materials covered by this section... from the Geoquest USA, Inc.\",\n \"Cement shall be Types I, II or III and shall conform to the requirements of AASHTO M-85.\",\n \"Reinforcing steel for concrete facing panels shall be deformed rebar conforming to AASHTO M31 (ASTM A615), grade 60, uncoated.\",\n \"High Adherence (HA) Ribbed Reinforcing Strips physical and mechanical properties shall conform to ASTM A-572 grade 65 (AASHTO M-223) or equivalent.\",\n \"Galvanizing shall conform to the requirements of ASTM-A123 (AASHTO M-111).\",\n \"Ladder Reinforcement physical and mechanical properties shall conform to ASTM A1064/A1064M-17, (AASHTO M 32M/M 32) plain wire Gr. 65.\",\n \"Connector plate material (for HA Ladders) shall comply with ASTM A1011/A1011M-15, SS Type 1, Gr.50 or HSLAS Class 1, Gr. 50.\",\n \"Welding shall comply with provisions listed within the latest edition of ANSI/AWS D1.1, A5.18.\",\n \"Tie Strips shall be shop fabricated of hot rolled steel conforming to the minimum requirements of ASTM A-1011, Grade 50 or equivalent.\",\n \"Fasteners for Tie Strips shall consist of hexagonal cap screw bolts and nuts conforming to the minimum requirements of ASTM A-449 (AASHTO M-164) or equivalent.\"\n ],\n \"measurements\": [\n \"5 1/2 inches minimum thickness\",\n \"1 1/2 inches minimum concrete cover\",\n \"4,000 psi minimum compressive strength at 28 days\",\n \"2.0 oz/ft² minimum galvanizing coating thickness\",\n \"65ksi minimum yield\",\n \"75ksi tensile\",\n \"35ksi minimum shear strength of welds\",\n \"50ksi minimum yield (connector plate)\",\n \"65ksi tension (connector plate)\"\n ]\n },\n \"retrieval_keywords\": {\n \"products\": [\n \"Concrete Facing Panels\",\n \"High Adherence (HA) Ribbed Reinforcing Strips\",\n \"Ladder Reinforcement\",\n \"Tie Strips\",\n \"Fasteners\",\n \"Select Granular Backfill\",\n \"Geoquest USA, Inc.\",\n \"Geoquest MSE WALL\"\n ],\n \"applications\": [\n \"MSE Wall\",\n \"Mechanically Stabilized Earth\",\n \"Earth Retention\",\n \"Retaining Wall\",\n \"Grade Separation\"\n ],\n \"problems_solved\": [\n \"Earth Retention\",\n \"Slope Stabilization\",\n \"Grade Change Management\",\n \"Soil Reinforcement\"\n ]\n },\n \"sales_context\": {\n \"opportunity_type\": \"Direct Spec-Driven Opportunity\",\n \"potential_questions_answered\": [\n \"Are Geoquest MSE systems explicitly named as the required material source in the specification?\",\n \"What are the specific concrete compressive strength and minimum panel thickness requirements for the facing panels?\",\n \"Which ASTM and AASHTO standards govern the soil reinforcing and attachment devices?\",\n \"What minimum galvanizing thickness is required for the reinforcement components?\",\n \"What are the acceptance criteria for the select granular backfill material?\"\n ]\n }\n}",
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