ts too

.changeset/gold-cloths-give.md

@@ -0,0 +1,5 @@
+---
+"llama-cloud-services-py": patch
+---
+
+Parse bounding boxes from extract jobs results in agent data

py/CHANGELOG.md

@@ -1,17 +1,5 @@
 # llama-cloud-services-py
 
-## 0.6.90
-
-### Patch Changes
-
-- 19cbb25: Remove extension filter
-
-## 0.6.89
-
-### Patch Changes
-
-- b9b83c9: Parse bounding boxes from extract jobs results in agent data
-
 ## 0.6.88
 
 ### Patch Changes

py/llama_cloud_services/parse/base.py

@@ -751,9 +751,11 @@ class LlamaParse(BasePydanticReader):
             file_path = str(file_input)
             file_ext = os.path.splitext(file_path)[1].lower()
             if file_ext not in SUPPORTED_FILE_TYPES:
-                mime_type = "application/octet-stream"
-            else:
-                mime_type = mimetypes.guess_type(file_path)[0]
+                raise Exception(
+                    f"Currently, only the following file types are supported: {SUPPORTED_FILE_TYPES}\n"
+                    f"Current file type: {file_ext}"
+                )
+            mime_type = mimetypes.guess_type(file_path)[0]
             # Open the file here for the duration of the async context
             # load data, set the mime type
             fs = fs or get_default_fs()

py/llama_parse/CHANGELOG.md

@@ -1,20 +1,5 @@
 # llama_parse
 
-## 0.6.90
-
-### Patch Changes
-
-- 19cbb25: Remove extension filter
-- Updated dependencies [19cbb25]
-  - llama-cloud-services-py@0.6.90
-
-## 0.6.89
-
-### Patch Changes
-
-- Updated dependencies [b9b83c9]
-  - llama-cloud-services-py@0.6.89
-
 ## 0.6.88
 
 ### Patch Changes

py/llama_parse/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llama_parse",
-  "version": "0.6.90",
+  "version": "0.6.88",
   "description": "",
   "main": "index.js",
   "private": false,

py/llama_parse/pyproject.toml

@@ -11,13 +11,13 @@ dev = [
 
 [project]
 name = "llama-parse"
-version = "0.6.90"
+version = "0.6.88"
 description = "Parse files into RAG-Optimized formats."
 authors = [{name = "Logan Markewich", email = "logan@llamaindex.ai"}]
 requires-python = ">=3.9,<4.0"
 readme = "README.md"
 license = "MIT"
-dependencies = ["llama-cloud-services>=0.6.90"]
+dependencies = ["llama-cloud-services>=0.6.88"]
 
 [project.scripts]
 llama-parse = "llama_parse.cli.main:parse"

py/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llama-cloud-services-py",
-  "version": "0.6.90",
+  "version": "0.6.88",
   "private": false,
   "license": "MIT",
   "scripts": {},

py/pyproject.toml

@@ -23,7 +23,7 @@ dev = [
 
 [project]
 name = "llama-cloud-services"
-version = "0.6.90"
+version = "0.6.88"
 description = "Tailored SDK clients for LlamaCloud services."
 authors = [{name = "Logan Markewich", email = "logan@runllama.ai"}]
 requires-python = ">=3.9,<4.0"

ts/llama_cloud_services/CHANGELOG.md

@@ -1,17 +1,5 @@
 # llama-cloud-services
 
-## 0.5.3
-
-### Patch Changes
-
-- d7864af: bugfixes in retry logic for LlamaExtract and LlamaClassify
-
-## 0.5.2
-
-### Patch Changes
-
-- 997bcc8: Add types for bounding boxes
-
 ## 0.5.1
 
 ### Patch Changes

ts/llama_cloud_services/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llama-cloud-services",
-  "version": "0.5.3",
+  "version": "0.5.1",
   "type": "module",
   "license": "MIT",
   "scripts": {

ts/llama_cloud_services/src/classify.ts

@@ -108,19 +108,20 @@ async function pollForJobCompletion({
     }
     const response =
       await getClassifyJobApiV1ClassifierJobsClassifyJobIdGet(jobOptions);
+    if (!response.response.ok) {
+      numIterations++;
+    }
     if (typeof response.data != "undefined") {
       status = response.data.status as StatusEnum;
       if (status == StatusEnum.CANCELLED || status == StatusEnum.ERROR) {
-        throw new Error("There was an error extracting data from your file.");
-      } else if (
-        status == StatusEnum.SUCCESS ||
-        status == StatusEnum.PARTIAL_SUCCESS
-      ) {
+        throw new Error("There was an error during the classification job.");
+      } else if (status == StatusEnum.SUCCESS) {
         return true;
+      } else {
+        numIterations++;
+        await sleep(interval * 1000);
       }
     }
-    numIterations++;
-    await sleep(interval * 1000);
   }
 }
 
@@ -168,7 +169,7 @@ async function getJobResult({
       retries++;
       await sleep(retryInterval * 1000);
     }
-    if (response.response.ok && typeof response.data != "undefined") {
+    if (typeof response.data != "undefined") {
       return response.data as ClassifyJobResults;
     } else {
       throw new Error(

ts/llama_cloud_services/src/extract.ts

@@ -296,16 +296,20 @@ async function pollForJobCompletion(
       return false;
     }
     const response = await getJobApiV1ExtractionJobsJobIdGet(jobOptions);
+    if (!response.response.ok) {
+      numIterations++;
+    }
     if (typeof response.data != "undefined") {
       status = response.data.status as StatusEnum;
       if (status == StatusEnum.CANCELLED || status == StatusEnum.ERROR) {
         throw new Error("There was an error extracting data from your file.");
       } else if (status == StatusEnum.SUCCESS) {
         return true;
+      } else {
+        numIterations++;
+        await sleep(interval * 1000);
       }
     }
-    numIterations++;
-    await sleep(interval * 1000);
   }
 }
 
@@ -346,7 +350,7 @@ async function getJobResult(
       retries++;
       await sleep(retryInterval * 1000);
     }
-    if (response.response.ok && typeof response.data != "undefined") {
+    if (typeof response.data != "undefined") {
       return {
         data: response.data.data,
         extractionMetadata: response.data.extraction_metadata,