🔧 rework custom internals

Author: sebastianMindee

docs/extras/code_samples/custom_v1.txt

@@ -3,7 +3,7 @@ from mindee import Client, PredictResponse, product
 # Init a new client
 mindee_client = Client(api_key="my-api-key")
 
-custom_endpoint = mindee_client.create_endpoint("field_test", "solution-eng-tests")
+custom_endpoint = mindee_client.create_endpoint("my-endpoint", "my-account")
 
 # Load a file from disk
 input_doc = mindee_client.source_from_path("/path/to/the/file.ext")

docs/extras/guide/custom_v1.md

@@ -99,7 +99,7 @@ The **columns_to_line_items()** function can be called from the document and pag
 
 It takes the following arguments:
 
-* **anchor_names** (`List[str]`): a list of the names of possible anchor (field) candidate for the horizontal placement a line. If all provided anchors are invalid, the `LineItemV1` won't be built.
+* **anchor_names** (`List[str]`): a list of the names of possible anchor (field) candidate for the horizontal placement a line. If all provided anchors are invalid, the `CustomLine` won't be built.
 * **field_names** (`List[str]`): a list of fields to retrieve the values from
 * **height_tolerance** (`float`): Optional, the height tolerance used to build the line. It helps when the height of a line can vary unexpectedly.
 
@@ -121,14 +121,14 @@ response.document.pages[0].prediction.columns_to_line_items(
 )
 ```
 
-It returns a list of [CustomLineV1](#CustomlineV1) objects.
+It returns a list of [CustomLine](#CustomLine) objects.
 
-## CustomlineV1
+## CustomLine
 
-`CustomlineV1` represents a line as it has been read from column fields. It has the following attributes:
+`CustomLine` represents a line as it has been read from column fields. It has the following attributes:
 
 * **row_number** (`int`): Number of a given line. Starts at 1.
-* **fields** (`Dict[str, ListFieldValueV1]`[]): List of the fields associated with the line, indexed by their column name.
+* **fields** (`Dict[str, ListFieldValue]`[]): List of the fields associated with the line, indexed by their column name.
 * **bbox** (`BBox`): Simple bounding box of the current line representing the 4 minimum & maximum coordinates as `float` values.
 
 

docs/parsing/custom.rst

@@ -4,26 +4,26 @@ Custom Fields
 
 Classification
 ==============
-.. autoclass:: mindee.parsing.custom.classification.ClassificationFieldV1
+.. autoclass:: mindee.parsing.custom.classification.ClassificationField
     :members:
 
 
 Line Items
 ==========
-.. autoclass:: mindee.parsing.custom.line_items.CustomLineV1
+.. autoclass:: mindee.parsing.custom.line_items.CustomLine
     :members:
 
 Lists
 =====
 
 List Field
 ----------
-.. autoclass:: mindee.parsing.custom.list.ListFieldV1
+.. autoclass:: mindee.parsing.custom.list.ListField
     :members:
 
 List Field Value
 ----------------
-.. autoclass:: mindee.parsing.custom.list.ListFieldValueV1
+.. autoclass:: mindee.parsing.custom.list.ListFieldValue
     :members:
 
 String Dict

mindee/error/__init__.py

@@ -1,6 +1,6 @@
 from mindee.error.geometry_error import GeometryError
 from mindee.error.mimetype_error import MimeTypeError
-from mindee.error.mindee_error import MindeeClientError, MindeeError
+from mindee.error.mindee_error import MindeeClientError, MindeeError, MindeeProductError
 from mindee.error.mindee_http_error import (
     MindeeHTTPClientError,
     MindeeHTTPError,

mindee/error/mindee_error.py

@@ -16,3 +16,7 @@ class MindeeApiError(MindeeError):
 
 class MindeeSourceError(MindeeError):
     """An exception relating to document loading."""
+
+
+class MindeeProductError(MindeeApiError):
+    """An exception relating to the use of an incorrect product/version."""

mindee/input/sources.py

@@ -45,7 +45,7 @@ class LocalInputSource:
     filename: str
     file_mimetype: str
     input_type: InputType
-    filepath: Optional[str] = None
+    filepath: Optional[str]
 
     def __init__(self, input_type: InputType):
         self.input_type = input_type

mindee/parsing/common/job.py

@@ -14,7 +14,7 @@ class Job:
     """ID of the job sent by the API in response to an enqueue request."""
     issued_at: datetime
     """Timestamp of the request reception by the API."""
-    available_at: Optional[datetime] = None
+    available_at: Optional[datetime]
     """Timestamp of the request after it has been completed."""
     status: str
     """Status of the request, as seen by the API."""
@@ -30,6 +30,8 @@ def __init__(self, json_response: dict) -> None:
         self.issued_at = datetime.fromisoformat(json_response["issued_at"])
         if json_response.get("available_at"):
             self.available_at = datetime.fromisoformat(json_response["available_at"])
+        else:
+            self.available_at = None
         self.id = json_response["id"]
         self.status = json_response["status"]
         if self.available_at:

mindee/parsing/custom/__init__.py

@@ -1,3 +1,3 @@
-from mindee.parsing.custom.classification import ClassificationFieldV1
-from mindee.parsing.custom.line_items import CustomLineV1, get_line_items
-from mindee.parsing.custom.list import ListFieldV1, ListFieldValueV1
+from mindee.parsing.custom.classification import ClassificationField
+from mindee.parsing.custom.line_items import CustomLine, get_line_items
+from mindee.parsing.custom.list import ListField, ListFieldValue

mindee/parsing/custom/classification.py

@@ -1,7 +1,7 @@
 from mindee.parsing.common.string_dict import StringDict
 
 
-class ClassificationFieldV1:
+class ClassificationField:
     """A classification field."""
 
     value: str

mindee/parsing/custom/line_items.py

@@ -4,10 +4,10 @@
 from mindee.geometry.bbox import BBox, extend_bbox, get_bbox
 from mindee.geometry.minmax import MinMax, get_min_max_y
 from mindee.geometry.quadrilateral import get_bounding_box
-from mindee.parsing.custom.list import ListFieldV1, ListFieldValueV1
+from mindee.parsing.custom.list import ListField, ListFieldValue
 
 
-def _find_best_anchor(anchors: Sequence[str], fields: Dict[str, ListFieldV1]) -> str:
+def _find_best_anchor(anchors: Sequence[str], fields: Dict[str, ListField]) -> str:
     """
     Find the anchor with the most rows, in the order specified by `anchors`.
 
@@ -23,12 +23,12 @@ def _find_best_anchor(anchors: Sequence[str], fields: Dict[str, ListFieldV1]) ->
     return anchor
 
 
-class CustomLineV1:
+class CustomLine:
     """Represent a single line."""
 
     row_number: int
     """Index of the row of a given line."""
-    fields: Dict[str, ListFieldValueV1]
+    fields: Dict[str, ListFieldValue]
     """Fields contained in the line."""
     bbox: BBox
     """Simplified bounding box of the line."""
@@ -38,7 +38,7 @@ def __init__(self, row_number: int):
         self.bbox = BBox(1, 1, 0, 0)
         self.fields = {}
 
-    def update_field(self, field_name: str, field_value: ListFieldValueV1) -> None:
+    def update_field(self, field_name: str, field_value: ListFieldValue) -> None:
         """
         Updates a field value if it exists.
 
@@ -61,7 +61,7 @@ def update_field(self, field_name: str, field_value: ListFieldValueV1) -> None:
             merged_confidence = field_value.confidence
             merged_polygon = get_bounding_box(field_value.polygon)
 
-        self.fields[field_name] = ListFieldValueV1(
+        self.fields[field_name] = ListFieldValue(
             {
                 "content": merged_content,
                 "confidence": merged_confidence,
@@ -70,9 +70,7 @@ def update_field(self, field_name: str, field_value: ListFieldValueV1) -> None:
         )
 
 
-def is_box_in_line(
-    line: CustomLineV1, bbox: BBox, height_line_tolerance: float
-) -> bool:
+def is_box_in_line(line: CustomLine, bbox: BBox, height_line_tolerance: float) -> bool:
     """
     Checks if the bbox fits inside the line.
 
@@ -86,25 +84,25 @@ def is_box_in_line(
 
 
 def prepare(
-    anchor_name: str, fields: Dict[str, ListFieldV1], height_line_tolerance: float
-) -> List[CustomLineV1]:
+    anchor_name: str, fields: Dict[str, ListField], height_line_tolerance: float
+) -> List[CustomLine]:
     """
     Prepares lines before filling them.
 
     :param anchor_name: name of the anchor.
     :param fields: fields to build lines from.
     :param height_line_tolerance: line height tolerance for custom line reconstruction.
     """
-    lines_prepared: List[CustomLineV1] = []
+    lines_prepared: List[CustomLine] = []
     try:
-        anchor_field: ListFieldV1 = fields[anchor_name]
+        anchor_field: ListField = fields[anchor_name]
     except KeyError as exc:
         raise MindeeError("No lines have been detected.") from exc
 
     current_line_number: int = 1
-    current_line = CustomLineV1(current_line_number)
+    current_line = CustomLine(current_line_number)
     if anchor_field and len(anchor_field.values) > 0:
-        current_value: ListFieldValueV1 = anchor_field.values[0]
+        current_value: ListFieldValue = anchor_field.values[0]
         current_line.bbox = extend_bbox(
             current_line.bbox,
             current_value.polygon,
@@ -118,7 +116,7 @@ def prepare(
             ):
                 lines_prepared.append(current_line)
                 current_line_number += 1
-                current_line = CustomLineV1(current_line_number)
+                current_line = CustomLine(current_line_number)
             current_line.bbox = extend_bbox(
                 current_line.bbox,
                 current_value.polygon,
@@ -140,26 +138,26 @@ def prepare(
 def get_line_items(
     anchors: Sequence[str],
     field_names: Sequence[str],
-    fields: Dict[str, ListFieldV1],
+    fields: Dict[str, ListField],
     height_line_tolerance: float = 0.01,
-) -> List[CustomLineV1]:
+) -> List[CustomLine]:
     """
     Reconstruct line items from fields.
 
     :anchors: Possible fields to use as an anchor
     :columns: All fields which are columns
     :fields: List of field names to reconstruct table with
     """
-    line_items: List[CustomLineV1] = []
-    fields_to_transform: Dict[str, ListFieldV1] = {}
+    line_items: List[CustomLine] = []
+    fields_to_transform: Dict[str, ListField] = {}
     for field_name, field_value in fields.items():
         if field_name in field_names:
             fields_to_transform[field_name] = field_value
     anchor = _find_best_anchor(anchors, fields_to_transform)
     if not anchor:
         print(Warning("Could not find an anchor!"))
         return line_items
-    lines_prepared: List[CustomLineV1] = prepare(
+    lines_prepared: List[CustomLine] = prepare(
         anchor, fields_to_transform, height_line_tolerance
     )
 

mindee/parsing/custom/list.py

@@ -4,33 +4,35 @@
 from mindee.parsing.standard.base import FieldPositionMixin
 
 
-class ListFieldValueV1(FieldPositionMixin):
+class ListFieldValue(FieldPositionMixin):
     """A single value or word."""
 
     content: str
     """The content text"""
     confidence: float
     """Confidence score"""
+    page_id: Optional[int]
 
-    def __init__(self, raw_prediction: StringDict) -> None:
+    def __init__(
+        self, raw_prediction: StringDict, page_id: Optional[int] = None
+    ) -> None:
         self.content = raw_prediction["content"]
         self.confidence = raw_prediction["confidence"]
+        self.page_id = page_id
         self._set_position(raw_prediction)
 
     def __str__(self) -> str:
         return self.content
 
 
-class ListFieldV1:
+class ListField:
     """A list of values or words."""
 
     confidence: float
     """Confidence score"""
     reconstructed: bool
     """Whether the field was reconstructed from other fields."""
-    page_id: Optional[int]
-    """The document page on which the information was found."""
-    values: List[ListFieldValueV1]
+    values: List[ListFieldValue]
     """List of word values"""
 
     def __init__(
@@ -43,15 +45,9 @@ def __init__(
         self.reconstructed = reconstructed
 
         for value in raw_prediction["values"]:
-            self.values.append(ListFieldValueV1(value))
             if "page_id" in value:
                 page_id = value["page_id"]
-
-        if page_id is None:
-            if "page_id" in raw_prediction:
-                self.page_id = raw_prediction["page_id"]
-        else:
-            self.page_id = page_id
+            self.values.append(ListFieldValue(value, page_id))
         self.confidence = raw_prediction["confidence"]
 
     @property

mindee/product/custom/custom_v1_document.py

@@ -1,16 +1,16 @@
 from typing import Dict, List
 
 from mindee.parsing.common import Prediction, StringDict, clean_out_string
-from mindee.parsing.custom import ClassificationFieldV1, ListFieldV1
-from mindee.parsing.custom.line_items import CustomLineV1, get_line_items
+from mindee.parsing.custom import ClassificationField, ListField
+from mindee.parsing.custom.line_items import CustomLine, get_line_items
 
 
 class CustomV1Document(Prediction):
     """Custom V1 document prediction results."""
 
-    fields: Dict[str, ListFieldV1]
+    fields: Dict[str, ListField]
     """Dictionary of all fields in the document"""
-    classifications: Dict[str, ClassificationFieldV1]
+    classifications: Dict[str, ClassificationField]
     """Dictionary of all classifications in the document"""
 
     def __init__(self, raw_prediction: StringDict) -> None:
@@ -23,17 +23,17 @@ def __init__(self, raw_prediction: StringDict) -> None:
         self.classifications = {}
         for field_name, field_contents in raw_prediction.items():
             if "value" in field_contents:
-                self.classifications[field_name] = ClassificationFieldV1(field_contents)
+                self.classifications[field_name] = ClassificationField(field_contents)
             # Only value lists have the 'values' attribute.
             elif "values" in field_contents:
-                self.fields[field_name] = ListFieldV1(field_contents)
+                self.fields[field_name] = ListField(field_contents)
 
     def columns_to_line_items(
         self,
         anchor_names: List[str],
         field_names: List[str],
         height_tolerance: float = 0.01,
-    ) -> List[CustomLineV1]:
+    ) -> List[CustomLine]:
         """
         Order column fields into line items.
 

mindee/product/custom/custom_v1_page.py

@@ -1,14 +1,14 @@
 from typing import Dict, List, Optional
 
 from mindee.parsing.common import Prediction, StringDict, clean_out_string
-from mindee.parsing.custom import ListFieldV1
-from mindee.parsing.custom.line_items import CustomLineV1, get_line_items
+from mindee.parsing.custom import ListField
+from mindee.parsing.custom.line_items import CustomLine, get_line_items
 
 
 class CustomV1Page(Prediction):
     """Custom V1 page prediction results."""
 
-    fields: Dict[str, ListFieldV1]
+    fields: Dict[str, ListField]
     """Dictionary of all fields in the document"""
 
     def __init__(self, raw_prediction: StringDict, page_id: Optional[int]) -> None:
@@ -19,14 +19,14 @@ def __init__(self, raw_prediction: StringDict, page_id: Optional[int]) -> None:
         """
         self.fields = {}
         for field_name, field_contents in raw_prediction.items():
-            self.fields[field_name] = ListFieldV1(field_contents, page_id=page_id)
+            self.fields[field_name] = ListField(field_contents, page_id=page_id)
 
     def columns_to_line_items(
         self,
         anchor_names: List[str],
         field_names: List[str],
         height_tolerance: float = 0.01,
-    ) -> List[CustomLineV1]:
+    ) -> List[CustomLine]:
         """
         Order column fields into line items.