| | 61 | |
| | 62 | |
| | 63 | == Implementation == |
| | 64 | |
| | 65 | PyBOINC uses the following files and subdirectories in the job directory: |
| | 66 | |
| | 67 | * pyboinc_checkpoint: If present, this contains a job ID |
| | 68 | * new/: result files not yet handled |
| | 69 | * old/: result files already handled |
| | 70 | |
| | 71 | Pseudocode for the various PyBOINC functions: |
| | 72 | {{{ |
| | 73 | static jobID |
| | 74 | |
| | 75 | pyboinc_call(slave_filename, input) |
| | 76 | create a uniquely-named file x in the download hierarchy |
| | 77 | Pickler(x).dump(input) |
| | 78 | create_work() |
| | 79 | |
| | 80 | pyboinc_master(make_calls, handle_result) |
| | 81 | read jobID from pyboinc_checkpoint |
| | 82 | if none |
| | 83 | create a batch record; jobID = its ID |
| | 84 | make_calls() |
| | 85 | write jobID to checkpoint file |
| | 86 | move all files from old/ to new/ |
| | 87 | while (not all jobs done) |
| | 88 | if there is a file x in new/ |
| | 89 | output = Pickler.load(x) |
| | 90 | handle_result(output) |
| | 91 | else |
| | 92 | sleep(1) |
| | 93 | |
| | 94 | pyboinc_get_input() |
| | 95 | boinc_resolve_filename("input", infile) |
| | 96 | return Pickler.load(infile) |
| | 97 | |
| | 98 | pyboinc_return_output(output) |
| | 99 | boinc_resolve_filename("output", outfile) |
| | 100 | Pickler(outfile).dump(output) |