Class: Ultrasafeai::Ocr::Client
- Inherits:
-
Object
- Object
- Ultrasafeai::Ocr::Client
- Defined in:
- lib/ultrasafeai/ocr/client.rb
Instance Method Summary collapse
-
#extract(request_options: {}, **params) ⇒ Ultrasafeai::Types::UltraparserOcrResponse
Extract structured data from scanned documents or images using OCR.
-
#generate_schema(request_options: {}, **params) ⇒ Ultrasafeai::Types::UltraparserGenerateSchemaResponse
Upload a sample document to automatically generate a JSON Schema and extraction instruction.
- #initialize(client:, base_url: nil, environment: nil) ⇒ void constructor
-
#stream(request_options: {}, **params) ⇒ untyped
Same as
POST /ocrbut returns an SSE stream of progress events.
Constructor Details
#initialize(client:, base_url: nil, environment: nil) ⇒ void
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# File 'lib/ultrasafeai/ocr/client.rb', line 11 def initialize(client:, base_url: nil, environment: nil) @client = client @base_url = base_url @environment = environment end |
Instance Method Details
#extract(request_options: {}, **params) ⇒ Ultrasafeai::Types::UltraparserOcrResponse
Extract structured data from scanned documents or images using OCR. Provide a JSON Schema to define the fields you want to extract.
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# File 'lib/ultrasafeai/ocr/client.rb', line 29 def extract(request_options: {}, **params) params = Ultrasafeai::Internal::Types::Utils.normalize_keys(params) body = Internal::Multipart::FormData.new body.add_part(params[:file].to_form_data_part(name: "file")) if params[:file] if params[:json_schema] body.add( name: "json_schema", value: params[:json_schema] ) end if params[:extraction_target] body.add( name: "extraction_target", value: params[:extraction_target] ) end if params[:dpi] body.add( name: "dpi", value: params[:dpi] ) end if params[:batch_size] body.add( name: "batch_size", value: params[:batch_size] ) end request = Ultrasafeai::Internal::Multipart::Request.new( base_url: [:base_url] || @base_url || @environment&.dig(:base), method: "POST", path: "ocr", body: body, request_options: ) begin response = @client.send(request) rescue Net::HTTPRequestTimeout raise Ultrasafeai::Errors::TimeoutError end code = response.code.to_i if code.between?(200, 299) Ultrasafeai::Types::UltraparserOcrResponse.load(response.body) else error_class = Ultrasafeai::Errors::ResponseError.subclass_for_code(code) raise error_class.new(response.body, code: code) end end |
#generate_schema(request_options: {}, **params) ⇒ Ultrasafeai::Types::UltraparserGenerateSchemaResponse
Upload a sample document to automatically generate a JSON Schema and extraction instruction. This endpoint is free and does not consume credits.
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# File 'lib/ultrasafeai/ocr/client.rb', line 152 def generate_schema(request_options: {}, **params) params = Ultrasafeai::Internal::Types::Utils.normalize_keys(params) body = Internal::Multipart::FormData.new body.add_part(params[:file].to_form_data_part(name: "file")) if params[:file] if params[:prompt] body.add( name: "prompt", value: params[:prompt] ) end request = Ultrasafeai::Internal::Multipart::Request.new( base_url: [:base_url] || @base_url || @environment&.dig(:base), method: "POST", path: "ocr/generate-schema", body: body, request_options: ) begin response = @client.send(request) rescue Net::HTTPRequestTimeout raise Ultrasafeai::Errors::TimeoutError end code = response.code.to_i if code.between?(200, 299) Ultrasafeai::Types::UltraparserGenerateSchemaResponse.load(response.body) else error_class = Ultrasafeai::Errors::ResponseError.subclass_for_code(code) raise error_class.new(response.body, code: code) end end |
#stream(request_options: {}, **params) ⇒ untyped
Same as POST /ocr but returns an SSE stream of progress events. Set Accept: text/event-stream.
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# File 'lib/ultrasafeai/ocr/client.rb', line 91 def stream(request_options: {}, **params) params = Ultrasafeai::Internal::Types::Utils.normalize_keys(params) body = Internal::Multipart::FormData.new body.add_part(params[:file].to_form_data_part(name: "file")) if params[:file] if params[:json_schema] body.add( name: "json_schema", value: params[:json_schema] ) end if params[:extraction_target] body.add( name: "extraction_target", value: params[:extraction_target] ) end if params[:dpi] body.add( name: "dpi", value: params[:dpi] ) end if params[:batch_size] body.add( name: "batch_size", value: params[:batch_size] ) end request = Ultrasafeai::Internal::Multipart::Request.new( base_url: [:base_url] || @base_url || @environment&.dig(:base), method: "POST", path: "ocr/stream", body: body, request_options: ) begin response = @client.send(request) rescue Net::HTTPRequestTimeout raise Ultrasafeai::Errors::TimeoutError end code = response.code.to_i return if code.between?(200, 299) error_class = Ultrasafeai::Errors::ResponseError.subclass_for_code(code) raise error_class.new(response.body, code: code) end |