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# utils

These are some convenience functions for some common tasks.

## Module Contents

### Classes

| Name                                                         | Description                                       |
| ------------------------------------------------------------ | ------------------------------------------------- |
| [`JsonDatetimeEncoder`](#emtelliproutilsjsondatetimeencoder) | JSON encoder that serializes datetimes correctly. |

### Functions

| Name                                                 | Description                                                                                                                                                                        |
| ---------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [`batch_documents`](#emtelliproutilsbatch_documents) | Split up the input documents into smaller batches for submission. There is a maximum request size for each submission, so it's not possible to submit all input documents at once. |

### API

#### `emtellipro.utils.batch_documents`

```python
emtellipro.utils.batch_documents(
    docs,
    max_docs = float('inf'),
    key = None
)
```

Split up the input documents into smaller batches for submission. There
is a maximum request size for each submission, so it's not possible to
submit all input documents at once.

**Parameters:**

**`docs`**

An iterable of `InputDocument` instances.

---

**`max_docs`** — default: float('inf')

The maximum number of documents to put in a batch. This is a

---

**`key`**

A callable that will be given a document and will have to return

---

**Returns:**

Lists of documents that fit within the maximum limits for a submission.

#### `emtellipro.utils.JsonDatetimeEncoder`

```python
class emtellipro.utils.JsonDatetimeEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)
```

**Bases:** `json.JSONEncoder`

**Bases**: `json.JSONEncoder`

JSON encoder that serializes datetimes correctly.

##### Initialization

Constructor for JSONEncoder, with sensible defaults.

If skipkeys is false, then it is a TypeError to attempt
encoding of keys that are not str, int, float or None.  If
skipkeys is True, such items are simply skipped.

If ensure_ascii is true, the output is guaranteed to be str
objects with all incoming non-ASCII characters escaped.  If
ensure_ascii is false, the output can contain non-ASCII characters.

If check_circular is true, then lists, dicts, and custom encoded
objects will be checked for circular references during encoding to
prevent an infinite recursion (which would cause an RecursionError).
Otherwise, no such check takes place.

If allow_nan is true, then NaN, Infinity, and -Infinity will be
encoded as such.  This behavior is not JSON specification compliant,
but is consistent with most JavaScript based encoders and decoders.
Otherwise, it will be a ValueError to encode such floats.

If sort_keys is true, then the output of dictionaries will be
sorted by key; this is useful for regression tests to ensure
that JSON serializations can be compared on a day-to-day basis.

If indent is a non-negative integer, then JSON array
elements and object members will be pretty-printed with that
indent level.  An indent level of 0 will only insert newlines.
None is the most compact representation.

If specified, separators should be an (item_separator, key_separator)
tuple.  The default is (', ', ': ') if *indent* is `None` and
(',', ': ') otherwise.  To get the most compact JSON representation,
you should specify (',', ':') to eliminate whitespace.

If specified, default is a function that gets called for objects
that can't otherwise be serialized.  It should return a JSON encodable
version of the object or raise a `TypeError`.

##### `JsonDatetimeEncoder.default`

```python
default(o)
```