Spell fix s/e.g/e.g./ across code, tests and docs

docker-compose.yml

@@ -45,7 +45,8 @@ services:
       - KHOJ_DEBUG=False
       - KHOJ_ADMIN_EMAIL=username@example.com
       - KHOJ_ADMIN_PASSWORD=password
-      # Uncomment the following lines to make your instance publicly accessible. Replace the domain with your domain. Proceed with caution, especially if you are using anonymous mode.
+      # Uncomment the following lines to make your instance publicly accessible.
+      # Replace the domain with your domain. Proceed with caution, especially if you are using anonymous mode.
       # - KHOJ_NO_HTTPS=True
       # - KHOJ_DOMAIN=192.168.0.104
     command: --host="0.0.0.0" --port=42110 -vv --anonymous-mode

documentation/docs/clients/emacs.md

@@ -90,13 +90,13 @@ M-x package-install khoj
 See [Khoj Search](/features/search) for details
 1. Hit  `C-c s s` (or `M-x khoj RET s`) to open khoj search
 2. Enter your query in natural language<br/>
-  E.g *"What is the meaning of life?"*, *"My life goals for 2023"*
+  E.g. *"What is the meaning of life?"*, *"My life goals for 2023"*
 
 ### Chat
 See [Khoj Chat](/features/chat) for details
 1. Hit `C-c s c` (or `M-x khoj RET c`) to open khoj chat
 2. Ask questions in a natural, conversational style<br/>
-  E.g *"When did I file my taxes last year?"*
+  E.g. *"When did I file my taxes last year?"*
 
 ### Find Similar Entries
 This feature finds entries similar to the one you are currently on.
@@ -105,7 +105,7 @@ This feature finds entries similar to the one you are currently on.
 
 ### Advanced Usage
 - Add [query filters](https://github.com/khoj-ai/khoj/#query-filters) during search to narrow down results further
-  e.g `What is the meaning of life? -"god" +"none" dt>"last week"`
+  e.g. `What is the meaning of life? -"god" +"none" dt>"last week"`
 
 - Use `C-c C-o 2` to open the current result at cursor in its source org file
   - This calls `M-x org-open-at-point` on the current entry and opens the second link in the entry.

documentation/docs/clients/obsidian.md

@@ -31,7 +31,7 @@ See the official [Obsidian Plugin Docs](https://help.obsidian.md/Extending+Obsid
 ## Use
 ### Chat
 Click the *Khoj chat* icon 💬 on the [Ribbon](https://help.obsidian.md/User+interface/Workspace/Ribbon) or run *Khoj: Chat* from the [Command Palette](https://help.obsidian.md/Plugins/Command+palette) and ask questions in a natural, conversational style.<br />
-E.g *"When did I file my taxes last year?"*
+E.g. *"When did I file my taxes last year?"*
 
 See [Khoj Chat](/features/chat) for more details
 

documentation/docs/miscellaneous/performance.md

@@ -10,7 +10,7 @@ Here are some top-level performance metrics for Khoj. These are rough estimates
 
 - Semantic search using the bi-encoder is fairly fast at \<100 ms across all content types
 - Reranking using the cross-encoder is slower at \<2s on 15 results. Tweak `top_k` to tradeoff speed for accuracy of results
-- Filters in query (e.g by file, word or date) usually add \<20ms to query latency
+- Filters in query (e.g. by file, word or date) usually add \<20ms to query latency
 
 ### Indexing performance
 

src/interface/obsidian/src/utils.ts

@@ -354,7 +354,7 @@ export function getLinkToEntry(sourceFiles: TFile[], chosenFile: string, chosenE
         // This finds longest path match when multiple files have same name
         .sort((a, b) => b.path.length - a.path.length)
         // The first match is the best file match across OS
-        // e.g Khoj server on Linux, Obsidian vault on Android
+        // e.g. Khoj server on Linux, Obsidian vault on Android
         .find(file => chosenFile.replace(/\\/g, "/").endsWith(file.path))
 
     // Return link to vault file at heading of chosen search result

src/khoj/database/models/__init__.py

@@ -213,7 +213,7 @@ class SearchModelConfig(BaseModel):
     model_type = models.CharField(max_length=200, choices=ModelType.choices, default=ModelType.TEXT)
     # Bi-encoder model of sentence-transformer type to load from HuggingFace
     bi_encoder = models.CharField(max_length=200, default="thenlper/gte-small")
-    # Config passed to the sentence-transformer model constructor. E.g device="cuda:0", trust_remote_server=True etc.
+    # Config passed to the sentence-transformer model constructor. E.g. device="cuda:0", trust_remote_server=True etc.
     bi_encoder_model_config = models.JSONField(default=dict)
     # Query encode configs like prompt, precision, normalize_embeddings, etc. for sentence-transformer models
     bi_encoder_query_encode_config = models.JSONField(default=dict)

src/khoj/search_filter/date_filter.py

@@ -125,7 +125,7 @@ class DateFilter(BaseFilter):
             return []
 
         # extract, parse natural dates ranges from date range filter passed in query
-        # e.g today maps to (start_of_day, start_of_tomorrow)
+        # e.g. today maps to (start_of_day, start_of_tomorrow)
         date_ranges_from_filter = []
         for cmp, date_str in date_range_matches:
             if self.parse(date_str):
@@ -133,7 +133,7 @@ class DateFilter(BaseFilter):
                 date_ranges_from_filter += [[cmp, (dt_start.timestamp(), dt_end.timestamp())]]
 
         # Combine dates with their comparators to form date range intervals
-        # For e.g
+        # For e.g.
         #   >=yesterday maps to [start_of_yesterday, inf)
         #   <tomorrow maps to [0, start_of_tomorrow)
         # ---

src/khoj/utils/helpers.py

@@ -268,7 +268,7 @@ def log_telemetry(
         # API endpoint on server called by client
         request_body["api"] = api
     if client:
-        # Client from which the API was called. E.g Emacs, Obsidian
+        # Client from which the API was called. E.g. Emacs, Obsidian
         request_body["client"] = client
 
     # Log telemetry data to telemetry endpoint

tests/conftest.py

@@ -445,7 +445,7 @@ def get_sample_data(type):
 
 ** Installation
 *** Direct
-     - Put ~khoj.el~ in your Emacs load path. For e.g ~/.emacs.d/lisp
+     - Put ~khoj.el~ in your Emacs load path. For e.g. ~/.emacs.d/lisp
      - Load via ~use-package~ in your ~/.emacs.d/init.el or .emacs file by adding below snippet
        #+begin_src elisp
          ;; Khoj Package
@@ -467,12 +467,12 @@ def get_sample_data(type):
 ** Usage
    1. Call ~khoj~ using keybinding ~C-c s~ or ~M-x khoj~
    2. Enter Query in Natural Language
-      e.g "What is the meaning of life?" "What are my life goals?"
+      e.g. "What is the meaning of life?" "What are my life goals?"
    3. Wait for results
       *Note: It takes about 15s on a Mac M1 and a ~100K lines corpus of org-mode files*
    4. (Optional) Narrow down results further
       Include/Exclude specific words from results by adding to query
-      e.g "What is the meaning of life? -god +none"
+      e.g. "What is the meaning of life? -god +none"
 
 """,
             "readme.org": """

tests/data/org/interface_emacs_readme.org

@@ -6,7 +6,7 @@
 
 ** Install
 *** Direct
-     - Put ~khoj.el~ in your Emacs load path. For e.g ~/.emacs.d/lisp
+     - Put ~khoj.el~ in your Emacs load path. For e.g. ~/.emacs.d/lisp
      - Load via ~use-package~ in your ~/.emacs.d/init.el or .emacs file by adding below snippet
        #+begin_src elisp
          ;; Khoj Package
@@ -28,9 +28,9 @@
 ** Usage
    1. Call ~khoj~ using keybinding ~C-c s~ or ~M-x khoj~
    2. Enter Query in Natural Language
-      e.g "What is the meaning of life?" "What are my life goals?"
+      e.g. "What is the meaning of life?" "What are my life goals?"
    3. Wait for results
       *Note: It takes about 15s on a Mac M1 and a ~100K lines corpus of org-mode files*
    4. (Optional) Narrow down results further
       Include/Exclude specific words from results by adding to query
-      e.g "What is the meaning of life? -god +none"
+      e.g. "What is the meaning of life? -god +none"