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account_reconcile_different_partners

Author: Therp BV
License: AGPL-3
Branch: 8.0-account_reconcile_different_partners
Repository: hbrunn/bank-statement-reconcile
Dependencies: account
Languages: Python (78, 65.0%), XML (14, 11.7%), and reStructuredText (28, 23.3%)

Lift same partner constraint for reconciliation
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elvenstudio_credit_limit_enhancements

Author: ElvenStudio
License: AGPL-3
Branch: master
Repository: aschenkels-ictstudio/Odoo
Dependencies: account, and base
Languages: Markdown (8, 9.4%), PO File (17, 20.0%), Python (29, 34.1%), and XML (31, 36.5%)


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cenit_geneea_natural_language_processing_1_0

Author: Cenit IO
License: no license
Branch: 8.0
Repository: andhit-r/odoo-integrations
Dependencies: base, and cenit_base
Languages: HTML (38, 5.2%), Python (67, 9.2%), and XML (625, 85.6%)

<div class="api-description"> <h2>Authentication</h2> <p>For all calls, supply your API key. <a href="https://geneea.3scale.net/">Sign up to <em>obtain the key</em></a>.</p> <p> Our API supports both <em>unencrypted (HTTP)</em> and <em>encrypted (HTTPS)</em> protocols. However, for security reasons, we strongly encourage using only the encrypted version. </p> <p>The API key should be supplied as either a request parameter <code>user_key</code> or in <code>Authorization</code> header.</p> <pre><code>Authorization: user_key &lt;YOUR_API_KEY&gt;</code></pre> <h2>API operations</h2> <p> All API operations can perform analysis on supplied raw text or on text extracted from a given URL. Optionally, one can supply additional information which can make the result more precise. An example of such information would be the language of text or a particular text extractor for URL resources. </p> <p>The supported types of analyses are:</p> <ul> <li><strong>lemmatization</strong> &longrightarrow; Finds out lemmata (basic forms) of all the words in the document. </li> <li><strong>correction</strong> &longrightarrow; Performs correction (diacritization) on all the words in the document. </li> <li><strong>topic detection</strong> &longrightarrow; Determines a topic of the document, e.g. finance or sports. </li> <li><strong>sentiment analysis</strong> &longrightarrow; Determines a sentiment of the document, i.e. how positive or negative the document is. </li> <li><strong>named entity recognition</strong> &longrightarrow; Finds named entities (like person, location, date etc.) mentioned the the document. </li> </ul> <h2>Encoding</h2> <p>The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts.</p> <h2>Returned values</h2> <p>The API calls always return objects in serialized JSON format in UTF-8 encoding.</p> <p> If any error occurs, the HTTP response code will be in the range <code>4xx</code> (client-side error) or <code>5xx</code> (server-side error). In this situation, the body of the response will contain information about the error in JSON format, with <code>exception</code> and <code>message</code> values. </p> <h2>URL limitations</h2> <p> All the requests are semantically <code>GET</code>. However, for longer texts, you may run into issues with URL length limit. Therefore, it's possible to always issue a <code>POST</code> request with all the parameters encoded as a JSON in the request body. </p> <p>Example:</p> <pre><code> POST /s1/sentiment Content-Type: application/json {"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."} </code></pre> <p>This is equivalent to <code>GET /s1/sentiment?text=There%20is%20no%20harm...</code></p> <h2>Request limitations</h2> <p> The API has other limitations concerning the size of the HTTP requests. The maximal allowed size of any POST request body is <em>512 KiB</em>. For request with a URL resource, the maximal allowed number of extracted characters from each such resource is <em>100,000</em>. </p> <h2>More information</h2> <p> <a href="https://geneea.atlassian.net/wiki/display/IPD/The+Interpretor+API+Public+Documentation" target="_blank"> The Interpretor Public Documentation </a> </p> </div>
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